plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | jacksky64/imageProcessing-master | load_signal.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelets/toolbox/load_signal.m | 12,338 | utf_8 | b70e4cb57d6b467ae9c90d4b3310a81f | function y = load_signal(name, n, options)
% load_signal - load a 1D signal
%
% y = load_signal(name, n, options);
%
% name is a string that can be :
% 'regular' (options.alpha gives regularity)
% 'step', 'rand',
% 'gaussiannoise' (options.sigma gives width of filtering in pixels),
% [natural signa... |
github | jacksky64/imageProcessing-master | load_image.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelets/toolbox/load_image.m | 20,946 | utf_8 | f51ce8bb55fa19a67c87b6d1249cb2a5 | function M = load_image(type, n, options)
% load_image - load benchmark images.
%
% M = load_image(name, n, options);
%
% name can be:
% Synthetic images:
% 'chessboard1', 'chessboard', 'square', 'squareregular', 'disk', 'diskregular', 'quaterdisk', '3contours', 'line',
% 'line_vertical', 'l... |
github | jacksky64/imageProcessing-master | perform_thresholding.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelets/toolbox/perform_thresholding.m | 2,482 | utf_8 | 0f3a43687bf3809b0789cace4871a1e6 | function y = perform_thresholding(x, t, type)
% perform_thresholding - perform hard or soft thresholding
%
% y = perform_thresholding(x, t, type);
%
% type is either 'hard' or 'soft' or 'semisoft'
% t is the threshold
%
% works also for complex data, and for cell arrays.
%
% if type is 'strict' then it keeps... |
github | jacksky64/imageProcessing-master | histo.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelets/toolbox/histo.m | 1,835 | utf_8 | e76d8956cd1d59f518a8146dc5145f9b | % [N,X] = histo(MTX, nbinsOrBinsize, binCenter);
%
% Compute a histogram of (all) elements of MTX. N contains the histogram
% counts, X is a vector containg the centers of the histogram bins.
%
% nbinsOrBinsize (optional, default = 101) specifies either
% the number of histogram bins, or the negative of the binsize.
%... |
github | jacksky64/imageProcessing-master | ltsa.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_dimreduc/ltsa.m | 2,653 | utf_8 | 39339d59acc8335882d3bf9aeeed65f0 | % ltsa - local tangent planes alignement
%
% [T,NI] = ltsa(X,d,K);
%
% X is the (d,n) n data points in R^d.
% d is the output dimensionnality.
% K is the number of nearest neighbors.
%
% Written by Zhenyue Zhang & Hongyuan Zha, 2004.
% Reference: http://epubs.siam.org/sam-bin/dbq/article/41915
funct... |
github | jacksky64/imageProcessing-master | hlle.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_dimreduc/hlle.m | 5,717 | utf_8 | c4f0f3986f804846fe8c8137aed78dd8 | function [Y, mse] = HLLE(X,k,d)
%HLLE Runs the standard Hessian LLE implementation of Hessian Eigenmaps
%
% X is the high-dimensional data to be processed
% k is the number of nearest neighbor points to be used
% if k is a scalar, same size used at all points. if k is a vector of
% length N, neighbo... |
github | jacksky64/imageProcessing-master | qslim.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/qslim.m | 13,152 | utf_8 | 2ab54ac7408e720642cbe21d8b6927bd | function [NFV,smf_fname] = qslim(FV,varargin);
%QSLIM - Mesh simplification, wrapper function for Garland's QSLIM executable program
% function [NFV,smf_fname] = qslim(FV,varargin);
% varargin should be entered in pairs '<option>','<arg>'.
% Valid pairs used in this wrapper are:
%
% '-t', <n>
%
% Specify the desired... |
github | jacksky64/imageProcessing-master | perform_point_picking.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/perform_point_picking.m | 4,121 | utf_8 | 9c43a474845c0bc92e5d215f6eda9a88 | function perform_point_picking( PointCloud, face )
% function perform_point_picking( PointCloud, face );
%
% This function shows a 3D point cloud or a mesh and lets the user click select one
% of the points by clicking on it. The selected point will be highlighted
% and its index in the point cloud will be... |
github | jacksky64/imageProcessing-master | select3d.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/select3d.m | 10,864 | utf_8 | 64f6b58cf8db75c3508f68035be9892e | function [pout, vout, viout, facevout, faceiout] = select3d(obj)
%SELECT3D(H) Determines the selected point in 3-D data space.
% P = SELECT3D determines the point, P, in data space corresponding
% to the current selection position. P is a point on the first
% patch or surface face intersected along the selection ... |
github | jacksky64/imageProcessing-master | compute_parameterization.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/compute_parameterization.m | 7,948 | utf_8 | ccbb3294b8723d824f8bfa35c4ea64dc | function vertex1 = compute_parameterization(vertex,face, options)
% compute_parameterization - compute a planar parameterization
%
% vertex1 = compute_parameterization(vertex,face, options);
%
% options.method can be:
% 'parameterization': solve classical parameterization, the boundary
% is... |
github | jacksky64/imageProcessing-master | perform_dijkstra_propagation_old.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/perform_dijkstra_propagation_old.m | 5,116 | utf_8 | 28fc1b6f28ff90c69f6e7c7330aaa33f | function D = perform_dijkstra_propagation_old( G , S )
% dijkstra - Find shortest paths in graphs
%
% D = dijkstra_fast( G , S );
%
% use the full or sparse matrix G in which
% an entry (i,j) represents the arc length between nodes i and j in a
% graph. In a full matrix, the value INF represents the abse... |
github | jacksky64/imageProcessing-master | compute_boundary.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/compute_boundary.m | 1,951 | utf_8 | a1d4f16ccb164b5d4d3dded2507bbee2 | function boundary=compute_boundary(face, options)
% compute_boundary - compute the vertices on the boundary of a 3D mesh
%
% boundary=compute_boundary(face);
%
% Copyright (c) 2007 Gabriel Peyre
options.null = 0;
verb = getoptions(options, 'verb', 1);
if size(face,1)<size(face,2)
face=face';
end... |
github | jacksky64/imageProcessing-master | compute_geometric_laplacian.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/compute_geometric_laplacian.m | 5,760 | utf_8 | b6c0f7f8acdbb0c203c5f1a297957760 | function L = compute_geometric_laplacian(vertex,face,type)
% compute_geometric_laplacian - return a laplacian
% of a given triangulation (can be combinatorial or geometric).
%
% L = compute_geometric_laplacian(vertex,face,type);
%
% Type is either :
% - 'combinatorial' : combinatorial laplacian, d... |
github | jacksky64/imageProcessing-master | check_face_vertex.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/check_face_vertex.m | 646 | utf_8 | fe3c5da3b1ca8f15eb7eed61acfc2259 | function [vertex,face] = check_face_vertex(vertex,face, options)
% check_face_vertex - check that vertices and faces have the correct size
%
% [vertex,face] = check_face_vertex(vertex,face);
%
% Copyright (c) 2007 Gabriel Peyre
vertex = check_size(vertex);
face = check_size(face);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f... |
github | jacksky64/imageProcessing-master | plot_graph.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/plot_graph.m | 2,140 | utf_8 | 337033b66fe405903639bcac59c2b34d | function h = plot_graph(A,xy, options)
% plot_graph - display a 2D or 3D graph.
%
% plot_graph(A,xy, options);
%
% options.col set the display (e.g. 'k.-')
%
% Copyright (c) 2006 Gabriel Peyre
if size(xy,1)>size(xy,2)
xy = xy';
end
if nargin<3
options.null = 0;
end
if not(isstruct(options))
col = op... |
github | jacksky64/imageProcessing-master | perform_faces_reorientation.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/perform_faces_reorientation.m | 2,816 | utf_8 | 2cf3d5c1ad6ea271b524352db5492c2c | function faces = perform_faces_reorientation(vertex,faces, options)
% perform_faces_reorientation - reorient the faces with respect to the center of the mesh
%
% faces = perform_faces_reorientation(vertex,faces, options);
%
% try to find a consistant reorientation for faces of a mesh.
%
% if options.method = 'fast... |
github | jacksky64/imageProcessing-master | plot_spherical_triangulation.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/plot_spherical_triangulation.m | 1,397 | utf_8 | fde5d8ffb7898bb232257895ced3d53d | function plot_spherical_triangulation(svertex,face, options)
% plot_spherical_triangulation - display a nice spherical triangulation
%
% plot_spherical_triangulation(svertex,face,options);
%
% Copyright (c) 2008 Gabriel Peyre
options.null = 0;
hold on;
% draw a background sphere
[X,Y,Z] = sphere(30);
surf(X,Y... |
github | jacksky64/imageProcessing-master | compute_mesh_weight.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/compute_mesh_weight.m | 2,783 | utf_8 | 435dabe64ab50ca5bf2c467bcbad6ab8 | function W = compute_mesh_weight(vertex,face,type,options)
% compute_mesh_weight - compute a weight matrix
%
% W = compute_mesh_weight(vertex,face,type,options);
%
% W is sparse weight matrix and W(i,j)=0 is vertex i and vertex j are not
% connected in the mesh.
%
% type is either
% 'combinatorial': W(i... |
github | jacksky64/imageProcessing-master | perform_analysis_regularization.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_graph/toolbox/perform_analysis_regularization.m | 2,585 | utf_8 | c15e65a8b4b77823cd42e992ac708563 | function [g,g_list,E] = perform_analysis_regularization(f, G, options)
% perform_analysis_regularization - perform a sparse regularization
%
% [g,g_list,E] = perform_analysis_regularization(f, A, options);
%
% Method solves, given f of length n, for
% min_g E(g) = 1/2*|f-g|^2 + lambda * |A*g|_1
% where A is a... |
github | jacksky64/imageProcessing-master | perform_synthesis_quilting.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/perform_synthesis_quilting.m | 7,651 | utf_8 | 8c411ddc2b26690849941b7d95f0b8ac | function Y = perform_synthesis_quilting(X, tilesize, n, overlap, err)
% perform_synthesis_quilting - perform image synthesis
%
% Y = perform_synthesis_quilting(X, tilesize, n, overlap, err);
%
% The method is described in
% ``Image Quilting for Texture Synthesis and Transfer''
% Alexei A. Efros and Wi... |
github | jacksky64/imageProcessing-master | perform_wavelet_matching.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/perform_wavelet_matching.m | 4,232 | utf_8 | c08affe005c098a67fc7fbda0a77237e | function [M1,MW,MW1] = perform_wavelet_matching(M1,M,options)
% perform_wavelet_matching - match multiscale histograms
%
% M1 = perform_wavelet_matching(M1,M,options);
%
% M1 is the image to synthesize.
% M is the exemplar image.
%
% This function match the histogram of the image and the histogram
% of each s... |
github | jacksky64/imageProcessing-master | load_image.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/load_image.m | 12,502 | utf_8 | 4d9dcb12e956804ea88dbe11fb8b6912 | function M = load_image(type, n, options)
% load_image - load benchmark images.
%
% M = load_image(name, n, options);
%
% name can be:
% Synthetic images:
% 'chessboard1', 'chessboard', 'square', 'disk', 'quaterdisk', '3contours', 'line',
% 'line_vertical', 'line_horizontal', 'line_diagonal'... |
github | jacksky64/imageProcessing-master | perform_histogram_equalization.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/perform_histogram_equalization.m | 7,968 | utf_8 | bcc84159668c38454a24a2574e13ac2b | function x = perform_histogram_equalization(x,y,options)
% perform_histogram_equalization - perform histogram equalization
%
% x = perform_histogram_equalization(x,y,options);
%
% Change the values of x so that its ordered values match
% the ordered values of y.
%
% You can set
% options.cols=1 to operat... |
github | jacksky64/imageProcessing-master | perform_blsgsm_denoising.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/perform_blsgsm_denoising.m | 41,741 | utf_8 | d7adcb441f0d91f470957d7d1083332f | function y = perform_blsgsm_denoising(x, options)
% perform_blsgsm_denoising - denoise an image using BLS-GSM
%
% y = perform_blsgsm_denoising(x, options);
%
% BLS-GSM stands for "Bayesian Least Squares - Gaussian Scale Mixture".
%
% This function is a wrapper for the code of J.Portilla.
%
% You can change the ... |
github | jacksky64/imageProcessing-master | perform_wavelet_transform.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/perform_wavelet_transform.m | 61,619 | utf_8 | ff04288ce6da8a2b6a0d33e1c20c57b6 | function y = perform_wavelet_transform(x, Jmin, dir, options)
% perform_wavelet_transform - wrapper to wavelab Wavelet transform (1D/2D and orthogonal/biorthogonal).
%
% y = perform_wavelet_transform(x, Jmin, dir, options);
%
% 'x' is either a 1D or a 2D array.
% 'Jmin' is the minimum scale (i.e. the coar... |
github | jacksky64/imageProcessing-master | medfilt2.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/ordfilt2/medfilt2.m | 4,441 | utf_8 | a78b7dbf3bc7c2a946de5e748467c722 | function b = medfilt2(varargin)
%MEDFILT2 Perform 2-D median filtering.
% B = MEDFILT2(A,[M N]) performs median filtering of the matrix
% A in two dimensions. Each output pixel contains the median
% value in the M-by-N neighborhood around the corresponding
% pixel in the input image. MEDFILT2 pads the imag... |
github | jacksky64/imageProcessing-master | padarray.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/ordfilt2/padarray.m | 7,671 | utf_8 | 489e5e1fb612ce595b1baac73abfb897 | function b = padarray(varargin)
%PADARRAY Pad an array.
% B = PADARRAY(A,PADSIZE) pads array A with PADSIZE(k) number of zeros
% along the k-th dimension of A. PADSIZE should be a vector of
% positive integers.
%
% B = PADARRAY(A,PADSIZE,PADVAL) pads array A with PADVAL (a scalar)
% instead of with ze... |
github | jacksky64/imageProcessing-master | checkstrs.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/ordfilt2/checkstrs.m | 3,285 | utf_8 | ce89005e77c1e286eddbb59ed6c2d8b5 | function out = checkstrs(in, valid_strings, function_name, ...
variable_name, argument_position)
%CHECKSTRS Check validity of option string.
% OUT = CHECKSTRS(IN,VALID_STRINGS,FUNCTION_NAME,VARIABLE_NAME, ...
% ARGUMENT_POSITION) checks the validity of the option string IN. It
% ret... |
github | jacksky64/imageProcessing-master | ordfilt2.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_nlmeans/toolbox/ordfilt2/ordfilt2.m | 4,253 | utf_8 | 1ead5ab3bf1749efe031d260f06b3578 | function B = ordfilt2(varargin)
%ORDFILT2 Perform 2-D order-statistic filtering.
% B=ORDFILT2(A,ORDER,DOMAIN) replaces each element in A by the
% ORDER-th element in the sorted set of neighbors specified by
% the nonzero elements in DOMAIN.
%
% B = ORDFILT2(A,ORDER,DOMAIN,S), where S is the same size as... |
github | jacksky64/imageProcessing-master | compute_butterfly_neighbors.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelet_meshes/compute_butterfly_neighbors.m | 1,398 | utf_8 | 0a690efe10cc4cbba37565df43f15a2f | function [e,v,g] = compute_butterfly_neighbors(k, nj)
% compute_butterfly_neighbors - compute local neighbors of a vertex
%
% [e,v,g] = compute_butterfly_neighbors(k, nj);
%
% This is for internal use.
%
% e are the 2 direct edge neighbors
% v are the 2 indirect neighbors
% g are the fare neighbors
%
% You nee... |
github | jacksky64/imageProcessing-master | load_spherical_function.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelet_meshes/load_spherical_function.m | 1,810 | utf_8 | 1999ea966df43f6770f67d42cee2a6f7 | function f = load_spherical_function(name, pos, options)
% load_spherical_function - load a function on the sphere
%
% f = load_spherical_function(name, pos, options);
%
% Copyright (c) 2007 Gabriel Peyre
if iscell(pos)
pos = pos{end};
end
if size(pos,1)>size(pos,2)
pos = pos';
end
x = pos(1,:); x = x(:... |
github | jacksky64/imageProcessing-master | perform_spherial_planar_sampling.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelet_meshes/perform_spherial_planar_sampling.m | 2,972 | utf_8 | 76d71d45fe348bef0c0f7dd26434dc52 | function posw = perform_spherial_planar_sampling(pos_sphere, sampling_type)
% perform_spherial_planar_sampling - project sampling location from sphere to a square
%
% posw = perform_spherial_planar_sampling(pos_sphere, type)
%
% 'type' can be 'area' or 'gnomonic'.
%
% This is used to produced spherical geo... |
github | jacksky64/imageProcessing-master | load_image.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelet_meshes/toolbox/load_image.m | 19,503 | utf_8 | 16a3a912ce98f3734882ac9fe80494c2 | function M = load_image(type, n, options)
% load_image - load benchmark images.
%
% M = load_image(name, n, options);
%
% name can be:
% Synthetic images:
% 'chessboard1', 'chessboard', 'square', 'squareregular', 'disk', 'diskregular', 'quaterdisk', '3contours', 'line',
% 'line_vertical', 'l... |
github | jacksky64/imageProcessing-master | check_face_vertex.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelet_meshes/toolbox/check_face_vertex.m | 646 | utf_8 | fe3c5da3b1ca8f15eb7eed61acfc2259 | function [vertex,face] = check_face_vertex(vertex,face, options)
% check_face_vertex - check that vertices and faces have the correct size
%
% [vertex,face] = check_face_vertex(vertex,face);
%
% Copyright (c) 2007 Gabriel Peyre
vertex = check_size(vertex);
face = check_size(face);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
f... |
github | jacksky64/imageProcessing-master | compute_mesh_weight.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_wavelet_meshes/toolbox/compute_mesh_weight.m | 2,820 | utf_8 | c90377b7ee516f5f952ce8c31dcfd43b | function W = compute_mesh_weight(vertex,face,type,options)
% compute_mesh_weight - compute a weight matrix
%
% W = compute_mesh_weight(vertex,face,type,options);
%
% W is sparse weight matrix and W(i,j)=0 is vertex i and vertex j are not
% connected in the mesh.
%
% type is either
% 'combinatorial': W(i... |
github | jacksky64/imageProcessing-master | plot_tensor_field.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_diffc/plot_tensor_field.m | 5,736 | utf_8 | 8e241783316bc4c13529031d81db17d4 | function h = plot_tensor_field(H, M, options)
% plot_tensor_field - display a tensor field
%
% h = plot_tensor_field(H, M, options);
%
% options.sub controls sub-sampling
% options.color controls color
%
% Copyright (c) 2006 Gabriel Peyre
if nargin<3
options.null = 0;
end
if not( isstruct(op... |
github | jacksky64/imageProcessing-master | compute_structure_tensor.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_diffc/compute_structure_tensor.m | 5,058 | utf_8 | 606bd8981d5d25ac5b04496f5007d00b | function H = compute_structure_tensor(M,sigma1,sigma2, options)
% compute_structure_tensor - compute the structure tensor
%
% T = compute_structure_tensor(M,sigma1,sigma2);
%
% sigma1 is pre smoothing width (in pixels).
% sigma2 is post smoothing width (in pixels).
%
% Follows the ideas of
% U. K?t... |
github | jacksky64/imageProcessing-master | plot_tensor_field_nb.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_diffc/plot_tensor_field_nb.m | 5,107 | utf_8 | 5f6826cefc68c6e07eaf23afe0858e50 | function h = plot_tensor_field(H, M, options)
% plot_tensor_field - display a tensor field
%
% h = plot_tensor_field(H, M, options);
%
% options.sub controls sub-sampling
% options.color controls color
%
% Copyright (c) 2006 Gabriel Peyre
if nargin<3
options.null = 0;
end
if not( isstruct(op... |
github | jacksky64/imageProcessing-master | load_image.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_diffc/toolbox/load_image.m | 20,485 | utf_8 | 59636d167046aad9d9e169c474427ee1 | function M = load_image(type, n, options)
% load_image - load benchmark images.
%
% M = load_image(name, n, options);
%
% name can be:
% Synthetic images:
% 'chessboard1', 'chessboard', 'square', 'squareregular', 'disk', 'diskregular', 'quaterdisk', '3contours', 'line',
% 'line_vertical', 'l... |
github | jacksky64/imageProcessing-master | compute_periodic_poisson.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_diffc/toolbox/compute_periodic_poisson.m | 855 | utf_8 | 52f67b893134bee2f5ec735f55733e1f | function G = compute_periodic_poisson(d, symmetrize)
% compute_periodic_poisson - solve poisson equation
%
% G = compute_periodic_poisson(d,symmetrize);
%
% Solve
% Delta(G) = d
% with periodic boundary condition.
% G has zero mean.
%
% Set symmetrize=1 (default 0) if the data divergence d is not peri... |
github | jacksky64/imageProcessing-master | perform_windowed_fourier_transform.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/perform_windowed_fourier_transform.m | 5,038 | utf_8 | 96c27071ef4e8304b6051ed54d7ad8b8 | function y = perform_windowed_fourier_transform(x,w,q,n, options)
% perform_windowed_fourier_transform - compute a local Fourier transform
%
% Forward transform:
% MF = perform_windowed_fourier_transform(M,w,q,n, options);
% Backward transform:
% M = perform_windowed_fourier_transform(MF,w,q,n, options);
%
% w ... |
github | jacksky64/imageProcessing-master | load_hdr.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/load_hdr.m | 4,928 | utf_8 | cdf17b3681f4c6902ed0f7de2ad31f7d | function [img, fileinfo] = read_hdr(filename)
% load_hdr - loading a radiance RBGE file.
%
% [img, fileinfo] = read_rle_rgbe(filename);
%
% Written by Lawrence A. Taplin (taplin@cis.rit.edu)
%
% Based loosely on the c-code RGBE implementation written by Bruce Walters
% http://www.graphics.cornell.edu/~bjw/rgbe.html
... |
github | jacksky64/imageProcessing-master | load_image.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/load_image.m | 21,410 | utf_8 | a83de39372a6892ac46820c6bea2e094 | function M = load_image(type, n, options)
% load_image - load benchmark images.
%
% M = load_image(name, n, options);
%
% name can be:
% Synthetic images:
% 'chessboard1', 'chessboard', 'square', 'squareregular', 'disk', 'diskregular', 'quaterdisk', '3contours', 'line',
% 'line_vertical', 'l... |
github | jacksky64/imageProcessing-master | grab_inpainting_mask.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/grab_inpainting_mask.m | 3,717 | utf_8 | c160d95ddbbe80a15f290993fd6bac1a | function [U,point_list] = grab_inpainting_mask(M, options)
% grab_inpainting_mask - create a mask from user input
%
% U = grab_inpainting_mask(M, options);
%
% Select set of point in an image (useful to select a region for
% inpainting). The set of point is U==Inf.
%
% options.r is the radius for selection (de... |
github | jacksky64/imageProcessing-master | change_color_mode.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/change_color_mode.m | 7,483 | utf_8 | 184fcadc594ac09e3b2a2086820890bb | function [M,ColorP] = change_color_mode(M,dir,options)
% change_color_mode - change of color representation
%
% M = change_color_mode(M,dir,options);
%
% switch between RGB and another color mode.
%
% options.color_mode can be:
% 'rgb' (no change), 'hsv', 'ycbcr', 'pca'
%
% For PCA you should proceed like th... |
github | jacksky64/imageProcessing-master | compute_ssim_index.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/compute_ssim_index.m | 19,068 | utf_8 | 5e9683c1871d1245fa1be59a084a9927 | function [mssim, ssim_map] = compute_ssim_index(img1, img2, K, window, L)
%========================================================================
%SSIM Index, Version 1.0
%Copyright(c) 2003 Zhou Wang
%All Rights Reserved.
%
%The author is with Howard Hughes Medical Institute, and Laboratory
%for Computationa... |
github | jacksky64/imageProcessing-master | perform_tv_hilbert_projection.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/perform_tv_hilbert_projection.m | 3,727 | utf_8 | f96d06428439140dc4dc1f0182805595 | function [u,v,px,py] = perform_tv_hilbert_projection(f,kernel,lam,options)
% Aujol & Chambolle projection for solving TV-K regularization
%
% [u,v,px,py] = perform_tv_hilbert_projection(f,kernel,lam,options);
%
% Solve the image separation problem :
% u = argmin_u |f-u|_K^2 + lam*|u|_TV
%
% f = u+v
% u i... |
github | jacksky64/imageProcessing-master | perform_tv_correction.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/perform_tv_correction.m | 985 | utf_8 | e9637dd038c9c859b0c6dedd242fecae | function y = perform_tv_correction(x,T)
% perform_tv_correction - perform correction of the image to that it minimizes the TV norm.
%
% y = perform_tv_correction(x,T);
%
% Perform correction using thresholding of haar wavelet coefficients on 1
% scale.
%
% Copyright (c) 2006 Gabriel Peyre
n = size(x,1);
Jmin ... |
github | jacksky64/imageProcessing-master | compute_periodic_poisson.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/compute_periodic_poisson.m | 855 | utf_8 | 52f67b893134bee2f5ec735f55733e1f | function G = compute_periodic_poisson(d, symmetrize)
% compute_periodic_poisson - solve poisson equation
%
% G = compute_periodic_poisson(d,symmetrize);
%
% Solve
% Delta(G) = d
% with periodic boundary condition.
% G has zero mean.
%
% Set symmetrize=1 (default 0) if the data divergence d is not peri... |
github | jacksky64/imageProcessing-master | perform_quincunx_interpolation.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/perform_quincunx_interpolation.m | 1,537 | utf_8 | 6d747ffd41f26abbb6804e53fb57335d | function Mi = perform_quincunx_interpolation(M,vm)
% perform_quincunx_interpolation - interpolate data on a quincunx grid
%
% Mi = perform_quincunx_interpolation(M,vm);
%
% M is a 2D image where only pixels M(i+j,i-j) are available
% (checkboard subsampling)
%
% vm is 2, 4 or 6
%
% Copyright (c) 2008 Gabri... |
github | jacksky64/imageProcessing-master | perform_windowed_dct_transform.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/perform_windowed_dct_transform.m | 2,282 | utf_8 | 9c456075e56465427a4442c1e5c9afc8 | function y = perform_windowed_dct_transform(x,w,q,n, options)
% perform_windowed_dct_transform - compute a local DCT transform
%
% Forward transform:
% MF = perform_windowed_dct_transform(M,w,q,n, options);
% Backward transform:
% M = perform_windowed_dct_transform(MF,w,q,n, options);
%
% w is the width of the ... |
github | jacksky64/imageProcessing-master | perform_windowed_dct4_transform.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/perform_windowed_dct4_transform.m | 14,528 | utf_8 | 14fb4b703d9af03093b3a48e38dceded | function y = perform_windowed_dct4_transform(x, w, dir, options)
% perform_windowed_dct4_transform - orthogonal local DCT
%
% y = perform_windowed_dct4_transform(x, w, dir, options);
%
% This is an orthogonal transform, with x2 overlap,
% note that the low frequencies are removes if options.remove_lowfreq = 1.
%
... |
github | jacksky64/imageProcessing-master | perform_dct_transform.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_image/toolbox/perform_dct_transform.m | 7,750 | utf_8 | 07f7ce84cf4f6dfc91ad645a17eab05c | function y = perform_dct_transform(x,dir)
% perform_dct_transform - discrete cosine transform
%
% y = perform_dct_transform(x,dir);
%
% Copyright (c) 2006 Gabriel Peyre
if size(x,1)==1 || size(x,2)==1
% 1D transform
if dir==1
y = dct(x);
else
y = idct(x);
end
else
if dir==1
... |
github | jacksky64/imageProcessing-master | dump_struct.m | .m | imageProcessing-master/Matlab imaging/Matlab toolbox/toolbox_misc/dump_struct.m | 1,389 | utf_8 | 746b6d65b8fc8c67e8cb806c235f5e6a | function fid = dump_struct(s,fid,header)
% dump_struct - dump the content of a struct to a file
%
% dump_struct(s,fid, header);
%
% Copyright (c) 2008 Gabriel Peyre
if nargin<3
header = '';
end
if isstr(fid)
fid = fopen(fid, 'a');
if fid<=0
error(['File ' fid ' does not exist.']);
end
en... |
github | jacksky64/imageProcessing-master | pad.m | .m | imageProcessing-master/Matlab imaging/Extra/pad.m | 2,742 | utf_8 | 9bf9d823661a04611d1004e631e3b34c | function Y=pad(varargin)
% PAD Pads matrix.
%
% Y = PAD(X,[Mi]) creates the matrix Y by expanding X and and
% padding the new elements with zeros. X will be expanded Mi
% elements in the directions -i and +i so that:
% size(Y) = size(X) + 2*[Mi]
%
% If Mi is scalar the same value ... |
github | jacksky64/imageProcessing-master | roll.m | .m | imageProcessing-master/Matlab imaging/Extra/roll.m | 2,119 | utf_8 | ae0c1da9cb4a28bee3b76a6360a1646a | function Y = roll(varargin)
% ROLL Rolls matrix elements.
% y = ROLL(x,[Ri]) rolls matrix x Ri elements in dimension i.
% The rolled matrix y is the same size as x. The last element
% in each dimension is repeated to fill blank places
%
% Example: ROLL([1 2 3 4],1) = [1 1 2 3]
% ROLL([1... |
github | jacksky64/imageProcessing-master | scale.m | .m | imageProcessing-master/Matlab imaging/Extra/scale.m | 790 | utf_8 | ebfcd3e0683fa90f71268707ae2275e8 | function y = scale(varargin)
% SCALE Scales matrix elements to a new range.
%
% y = SCALE(x,[min max]) scales the elements of matrix x to a new range
% defined by [min, max].
%
% y = SCALE(x) uses the default range = [0 1]
%
[x,Imin,Imax] = parse_inputs(varargin{:});
x = double(x);
M = max(x(:))... |
github | jacksky64/imageProcessing-master | nfft.m | .m | imageProcessing-master/Matlab imaging/Extra/nfft.m | 2,978 | utf_8 | 1ebdbe2e01ff9f619d743df60c2b62b6 | function y = nfft(varargin)
% NFFT Discrete Fourier transform.
% Y = NFFT(X) returns the Fourier transform of matrix X
% performing the visualization correction.
%
% Y = NFFT(X,MROWS) pads matrix X with zeros to size MROWS before transforming.
%
% Y = NFFT(X,MROWS,type) plots single sided(type='... |
github | jacksky64/imageProcessing-master | resize.m | .m | imageProcessing-master/Matlab imaging/Extra/resize.m | 1,810 | utf_8 | 219f27dea979cbaf2d6f9a7720824227 | function Y = resize(varargin)
% RESIZE Resizes an matrix.
%
% Y = RESIZE(X,[R1 R2 ... Rn]) creates the matrix Y containing the elements of X
% which are at indexes m*Ri+1 (m = 0,1,2,..) at dimension i.
% Y = RESIZE(X, R) is the same as Y = RESIZE(X,[R R ... R]).
%
% Y = RESIZE(X,[L1 L2 ... L... |
github | jacksky64/imageProcessing-master | vanherk.m | .m | imageProcessing-master/Matlab imaging/Extra/vanherk.m | 4,841 | utf_8 | 5b0cf60c12e2432af9a978d4bad7ff3b | function Y = vanherk(X,N,TYPE,varargin)
% VANHERK Fast max/min 1D filter
%
% Y = VANHERK(X,N,TYPE) performs the 1D max/min filtering of the row
% vector X using a N-length filter.
% The filtering type is defined by TYPE = 'max' or 'min'. This function
% uses the van Herk algorithm for min/max filt... |
github | jacksky64/imageProcessing-master | grow.m | .m | imageProcessing-master/Matlab imaging/Extra/grow.m | 2,699 | utf_8 | 98b0c97617d00069de86838244622d83 | function Y = grow(varargin)
%
% GROW Expands a matrix.
%
% Y = GROW(X,[M1 M2 ... Mn]) creates a matrix 'Y' by the expansion
% of the matrix 'x' of Mi elements on directions i e -i. The size
% of the new matrix 'Y' will be:
% size(Y) = size(x) + 2*[M]
%
% Example: X = [ 1 2 3; 4 5 6; 7 8 9]
%... |
github | jacksky64/imageProcessing-master | posterize.m | .m | imageProcessing-master/Matlab imaging/Extra/posterize.m | 2,427 | utf_8 | a008b17a4f649fdcad5fbbd48d8dabde | function Y = posterize(varargin)
%
% POSTERIZE Reduces number of colors in an image.
%
% Y = POSTERIZE(X,N) creates the image Y by reduncing the number
% of different colors of X to N. The N color values of Y are evenly
% spaced in the same range as the values of X, however Y has only N
% differen... |
github | jacksky64/imageProcessing-master | maxfilt2.m | .m | imageProcessing-master/Matlab imaging/Extra/maxfilt2.m | 1,849 | utf_8 | 45cc67fb2afee0dc77cfc7798629574f | function Y = maxfilt2(X,varargin)
% MAXFILT2 Two-dimensional max filter
%
% Y = MAXFILT2(X,[M N]) performs two-dimensional maximum
% filtering on the image X using an M-by-N window. The result
% Y contains the maximun value in the M-by-N neighborhood around
% each pixel in the original image. ... |
github | jacksky64/imageProcessing-master | minfilt2.m | .m | imageProcessing-master/Matlab imaging/Extra/minfilt2.m | 1,849 | utf_8 | 99705de3e51cb81a30a34c274cf65366 | function Y = minfilt2(X,varargin)
% MINFILT2 Two-dimensional min filter
%
% Y = MINFILT2(X,[M N]) performs two-dimensional minimum
% filtering on the image X using an M-by-N window. The result
% Y contains the minimun value in the M-by-N neighborhood around
% each pixel in the original image. ... |
github | jacksky64/imageProcessing-master | plotline.m | .m | imageProcessing-master/Matlab imaging/Extra/plotline.m | 1,778 | utf_8 | 44ac4c98d32432076d5d7b9c745300e3 | function y = plotline(x,d,varargin)
% PLOTLINE Plots a vertical or horizontal line
%
% PLOTLINE(x,dir) plots a horizontal (dir='h') or vertical (dir='v')
% dotted line at position x on the current figure.
%
% PLOTLINE(x,dir,S) uses plots the line using the specified color and
% linestyle. S is a s... |
github | jacksky64/imageProcessing-master | nfft2.m | .m | imageProcessing-master/Matlab imaging/Extra/nfft2.m | 2,714 | utf_8 | 246579cf697dfb614364498b06c06386 | function [varargout] = nfft2(varargin)
%
% NFFT2 Two-dimensional discrete Fourier Transform.
%
% Y = NFFT2(X) returns the two-dimensional Fourier transform of matrix X
% performing the visualization correction.
%
% Y = NFFT2(X,MROWS,NCOLS) pads matrix X with zeros to size MROWS-by-NCOLS
% before t... |
github | jacksky64/imageProcessing-master | thomas.m | .m | imageProcessing-master/Matlab imaging/Extra/thomas.m | 3,148 | utf_8 | 4b9db75fb4b91a56471d767ec26e0adb | function x = thomas(varargin)
% THOMAS Solves a tridiagonal linear system
%
% x = THOMAS(A,d) solves a tridiagonal linear system using the very efficient
% Thomas Algorith. The vector x is the returned answer.
%
% A*x = d; / a1 b1 0 0 0 ... 0 \ / x1 \ / d1 \
% ... |
github | jacksky64/imageProcessing-master | toggle.m | .m | imageProcessing-master/Matlab imaging/Extra/toggle.m | 2,005 | utf_8 | 96627feed2dcff5c420f0cdec2df8801 | function Y = toggle(varargin)
% TOGGLE Matrix elements classification.
%
% Y = TOGGLE(X,X1,X2) generates the binary matrix Y by comparing
% each element of the matrix X with X1 and X2. If the element of
% X is closer to the element of X1, the corresponding element of
% Y will be zero. Otherwise if the e... |
github | jacksky64/imageProcessing-master | colormapc.m | .m | imageProcessing-master/Matlab imaging/Extra/colormapc.m | 1,625 | utf_8 | bf7ec4fa92fbcd4ccc19569cee309220 | function Y = colormapc(varargin)
% COLORMAPC Circular colormap
%
% Y = COLORMAPC(T) creates a circular colormap type T. Circular colormaps
% are build so that the first and last colors are the same. This kind of
% colormap is useful for ploting angle images which have a circular behavior
% (0 = 2*pi... |
github | jacksky64/imageProcessing-master | noise.m | .m | imageProcessing-master/Matlab imaging/Extra/noise.m | 4,300 | utf_8 | 462689c50cc2ff1e7f79053cede6d16b | function y = noise(varargin)
% NOISE Adds noise to an image.
%
% NOISE creates a new image by adding noise to the original image.
% NOISE can be used to any matrix (1D, 2D, 3D, nD)
%
% Noisetypes are:
% 'ag' : additive gaussian (default) 'au' : additive uniform
% 'mg' : multiplica... |
github | jacksky64/imageProcessing-master | imagem.m | .m | imageProcessing-master/Matlab imaging/Extra/imagem.m | 3,626 | utf_8 | 1780eff1083db2a93964e4dc0cb295ca | function varargout = imagem(varargin)
% IMAGEM Displays image and marker.
%
% IMAGEM(X,M) displays the grayscale or RGB image X and superimposes the
% b/w image M to it. The image M is intended to be a marker image of
% some characteristics of X. X and M must have the same size.
%
% IMAGEM(X,M1,M2... |
github | jacksky64/imageProcessing-master | sp3Filters.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/sp3Filters.m | 17,188 | utf_8 | a3514d77e5a92b96d96197ebad343395 | % Steerable pyramid filters. Transform described in:
%
% @INPROCEEDINGS{Simoncelli95b,
% TITLE = "The Steerable Pyramid: A Flexible Architecture for
% Multi-Scale Derivative Computation",
% AUTHOR = "E P Simoncelli and W T Freeman",
% BOOKTITLE = "Second Int'l Conf on Image Processing",
% ADDRESS = "Washington, DC"... |
github | jacksky64/imageProcessing-master | buildWpyr.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/buildWpyr.m | 2,644 | utf_8 | e741b2037d9a1358d4de94580ebcc4bf | % [PYR, INDICES] = buildWpyr(IM, HEIGHT, FILT, EDGES)
%
% Construct a separable orthonormal QMF/wavelet pyramid on matrix (or vector) IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is maxPyrHt(IM,FILT). You can also specify 'auto' to use this value.
%
% FILT (optional) can be a st... |
github | jacksky64/imageProcessing-master | reconLpyr.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/reconLpyr.m | 2,049 | utf_8 | 657b8012a1ed06b6573496855309b2ae | % RES = reconLpyr(PYR, INDICES, LEVS, FILT2, EDGES)
%
% Reconstruct image from Laplacian pyramid, as created by buildLpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each subband. This is compatible with the MatLab Wavelet t... |
github | jacksky64/imageProcessing-master | mkDisc.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/mkDisc.m | 1,428 | utf_8 | c6acae0ac1aa738b7ef094eb2ac60f52 | % IM = mkDisc(SIZE, RADIUS, ORIGIN, TWIDTH, VALS)
%
% Make a "disk" image. SIZE specifies the matrix size, as for
% zeros(). RADIUS (default = min(size)/4) specifies the radius of
% the disk. ORIGIN (default = (size+1)/2) specifies the
% location of the disk center. TWIDTH (in pixels, default = 2)
% specifies th... |
github | jacksky64/imageProcessing-master | spyrHigh.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/spyrHigh.m | 189 | utf_8 | 3132a747e0c7bf1879bb32e4d5fda257 | % RES = spyrHigh(PYR, INDICES)
%
% Access the highpass residual band from a steerable pyramid.
% Eero Simoncelli, 6/96.
function res = spyrHigh(pyr,pind)
res = pyrBand(pyr, pind, 1);
|
github | jacksky64/imageProcessing-master | mkImpulse.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/mkImpulse.m | 529 | utf_8 | cf6f3809cb123791501bb0e92845a0c6 | % IM = mkImpulse(SIZE, ORIGIN, AMPLITUDE)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing a single non-zero entry, at position ORIGIN (defaults to
% ceil(size/2)), of value AMPLITUDE (defaults to 1).
% Eero Simoncelli, 6/96.
function [res] = mkImpulse(sz, origin, amplitude)
sz = s... |
github | jacksky64/imageProcessing-master | rconv2.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/rconv2.m | 1,435 | utf_8 | da3a54d6c7b1ac17c78eab0a4a7648d9 | % RES = RCONV2(MTX1, MTX2, CTR)
%
% Convolution of two matrices, with boundaries handled via reflection
% about the edge pixels. Result will be of size of LARGER matrix.
%
% The origin of the smaller matrix is assumed to be its center.
% For even dimensions, the origin is determined by the CTR (optional)
% argument:... |
github | jacksky64/imageProcessing-master | mkR.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/mkR.m | 775 | utf_8 | 504bc90f67c72730edc4a9d86630bdf2 | % IM = mkR(SIZE, EXPT, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a radial ramp function, raised to power EXPT
% (default = 1), with given ORIGIN (default = (size+1)/2, [1 1] =
% upper left). All but the first argument are optional.
% Eero Simoncelli, 6/96.... |
github | jacksky64/imageProcessing-master | blur.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/blur.m | 1,731 | utf_8 | a2dc57fdfe85f98549b2f7ddf721c298 | % RES = blur(IM, LEVELS, FILT)
%
% Blur an image, by filtering and downsampling LEVELS times
% (default=1), followed by upsampling and filtering LEVELS times. The
% blurring is done with filter kernel specified by FILT (default =
% 'binom5'), which can be a string (to be passed to namedFilter), a
% vector (applied sep... |
github | jacksky64/imageProcessing-master | pyrBand.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/pyrBand.m | 395 | utf_8 | 39c1e3772426a1362119d302d9767a24 | % RES = pyrBand(PYR, INDICES, BAND_NUM)
%
% Access a subband from a pyramid (gaussian, laplacian, QMF/wavelet,
% or steerable). Subbands are numbered consecutively, from finest
% (highest spatial frequency) to coarsest (lowest spatial frequency).
% Eero Simoncelli, 6/96.
function res = pyrBand(pyr, pind, band)
re... |
github | jacksky64/imageProcessing-master | kurt2.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/kurt2.m | 551 | utf_8 | cd20c1a5155cba8de454011552ec4f2a | % K = KURT2(MTX,MEAN,VAR)
%
% Sample kurtosis (fourth moment divided by squared variance)
% of a matrix. Kurtosis of a Gaussian distribution is 3.
% MEAN (optional) and VAR (optional) make the computation faster.
% Eero Simoncelli, 6/96.
function res = kurt2(mtx, mn, v)
if (exist('mn') ~= 1)
mn = mean(mean(mtx)... |
github | jacksky64/imageProcessing-master | buildSpyr.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/buildSpyr.m | 2,064 | utf_8 | b0caf60e63a52aa734956dd74ea39f95 | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSpyr(IM, HEIGHT, FILTFILE, EDGES)
%
% Construct a steerable pyramid on matrix IM. Convolutions are
% done with spatial filters.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is maxPyrHt(size(IM),size(FILT)).
% You can also specify 'auto' ... |
github | jacksky64/imageProcessing-master | setPyrBand.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/setPyrBand.m | 1,049 | utf_8 | 76554eb735e969097a4723a508facd37 | % NEWPYR = setPyrBand(PYR, INDICES, NEWBAND, BAND_NUM)
%
% Insert an image (BAND) into a pyramid (gaussian, laplacian, QMF/wavelet,
% or steerable). Subbands are numbered consecutively, from finest
% (highest spatial frequency) to coarsest (lowest spatial frequency).
% Eero Simoncelli, 1/03.
function pyr = setPyrB... |
github | jacksky64/imageProcessing-master | var2.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/var2.m | 390 | utf_8 | de26727e055081aa670024c273f0e885 | % V = VAR2(MTX,MEAN)
%
% Sample variance of a matrix.
% Passing MEAN (optional) makes the calculation faster.
function res = var2(mtx, mn)
if (exist('mn') ~= 1)
mn = mean2(mtx);
end
if (isreal(mtx))
res = sum(sum(abs(mtx-mn).^2)) / max((prod(size(mtx)) - 1),1);
else
res = sum(sum(real(mtx-mn).^2)) + i*sum(su... |
github | jacksky64/imageProcessing-master | reconSFpyrLevs.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/reconSFpyrLevs.m | 2,016 | utf_8 | ff83a4f3d2f0927dcaa8851535e6b20a | % RESDFT = reconSFpyrLevs(PYR,INDICES,LOGRAD,XRCOS,YRCOS,ANGLE,NBANDS,LEVS,BANDS)
%
% Recursive function for reconstructing levels of a steerable pyramid
% representation. This is called by reconSFpyr, and is not usually
% called directly.
% Eero Simoncelli, 5/97.
function resdft = reconSFpyrLevs(pyr,pind,log_rad,Xr... |
github | jacksky64/imageProcessing-master | rcosFn.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/rcosFn.m | 1,122 | utf_8 | 36283e0a34f1baf7ea2c5e6cb23aab89 | % [X, Y] = rcosFn(WIDTH, POSITION, VALUES)
%
% Return a lookup table (suitable for use by INTERP1)
% containing a "raised cosine" soft threshold function:
%
% Y = VALUES(1) + (VALUES(2)-VALUES(1)) *
% cos^2( PI/2 * (X - POSITION + WIDTH)/WIDTH )
%
% WIDTH is the width of the region over which the tra... |
github | jacksky64/imageProcessing-master | wpyrLev.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/wpyrLev.m | 729 | utf_8 | 77f309b76f98f3421e786fde4fe2d429 | % [LEV,IND] = wpyrLev(PYR,INDICES,LEVEL)
%
% Access a level from a separable QMF/wavelet pyramid.
% Return as an SxB matrix, B = number of bands, S = total size of a band.
% Also returns an Bx2 matrix containing dimensions of the subbands.
% Eero Simoncelli, 6/96.
function [lev,ind] = wpyrLev(pyr,pind,level)
if ((p... |
github | jacksky64/imageProcessing-master | binomialFilter.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/binomialFilter.m | 309 | utf_8 | 47b67219b2519bd65a435f3df318d41a | % KERNEL = binomialFilter(size)
%
% Returns a vector of binomial coefficients of order (size-1) .
% Eero Simoncelli, 2/97.
function [kernel] = binomialFilter(sz)
if (sz < 2)
error('size argument must be larger than 1');
end
kernel = [0.5 0.5]';
for n=1:sz-2
kernel = conv([0.5 0.5]', kernel);
end
|
github | jacksky64/imageProcessing-master | cconv2.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/cconv2.m | 1,325 | utf_8 | 8e564b623ba5cebd51e585eac6c66ba8 | % RES = CCONV2(MTX1, MTX2, CTR)
%
% Circular convolution of two matrices. Result will be of size of
% LARGER vector.
%
% The origin of the smaller matrix is assumed to be its center.
% For even dimensions, the origin is determined by the CTR (optional)
% argument:
% CTR origin
% 0 DIM/2 (defaul... |
github | jacksky64/imageProcessing-master | reconSCFpyr.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/reconSCFpyr.m | 4,475 | utf_8 | a0a6a06af4b5c9f7aa195bb8188fc754 | % RES = reconSCFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH)
%
% The inverse of buildSCFpyr: Reconstruct image from its complex steerable pyramid representation,
% in the Fourier domain.
%
% The image is reconstructed by forcing the complex subbands to be analytic
% (zero on half of the 2D Fourier plane, as they are supossed... |
github | jacksky64/imageProcessing-master | buildSCFpyr.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/buildSCFpyr.m | 2,713 | utf_8 | d94b4004138b50b6651511e8ba6ccb93 | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSCFpyr(IM, HEIGHT, ORDER, TWIDTH)
%
% This is a modified version of buildSFpyr, that constructs a
% complex-valued steerable pyramid using Hilbert-transform pairs
% of filters. Note that the imaginary parts will *not* be steerable.
%
% To reconstruct from this representati... |
github | jacksky64/imageProcessing-master | showIm.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/showIm.m | 6,111 | utf_8 | 15fbbf55e2fd54e3f48ca936e23c3f32 | % RANGE = showIm (MATRIX, RANGE, ZOOM, LABEL, NSHADES )
%
% Display a MatLab MATRIX as a grayscale image in the current figure,
% inside the current axes. If MATRIX is complex, the real and imaginary
% parts are shown side-by-side, with the same grayscale mapping.
%
% If MATRIX is a string, it should be the name of... |
github | jacksky64/imageProcessing-master | pyrLow.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/pyrLow.m | 287 | utf_8 | b3514ec06e2e106d7b61e534cac20a8e | % RES = pyrLow(PYR, INDICES)
%
% Access the lowpass subband from a pyramid
% (gaussian, laplacian, QMF/wavelet, steerable).
% Eero Simoncelli, 6/96.
function res = pyrLow(pyr,pind)
band = size(pind,1);
res = reshape( pyr(pyrBandIndices(pind,band)), pind(band,1), pind(band,2) );
|
github | jacksky64/imageProcessing-master | pgmRead.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/pgmRead.m | 1,259 | utf_8 | 6f07c13cf0f5d8930a46ac0d778bf86f | % IM = pgmRead( FILENAME )
%
% Load a pgm image into a MatLab matrix.
% This format is accessible from the XV image browsing utility.
% Only works for 8bit gray images (raw or ascii)
% Hany Farid, Spring '96. Modified by Eero Simoncelli, 6/96.
function im = pgmRead( fname );
[fid,msg] = fopen( fname, 'r' );
... |
github | jacksky64/imageProcessing-master | upConv.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/upConv.m | 2,779 | utf_8 | 34137e966f38700416bfb0ebb72663ee | % RES = upConv(IM, FILT, EDGES, STEP, START, STOP, RES)
%
% Upsample matrix IM, followed by convolution with matrix FILT. These
% arguments should be 1D or 2D matrices, and IM must be larger (in
% both dimensions) than FILT. The origin of filt
% is assumed to be floor(size(filt)/2)+1.
%
% EDGES is a string determinin... |
github | jacksky64/imageProcessing-master | mean2.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/mean2.m | 97 | utf_8 | cacc007ef6e32ba40a1e0da3b3d80a0e | % M = MEAN2(MTX)
%
% Sample mean of a matrix.
function res = mean2(mtx)
res = mean(mean(mtx));
|
github | jacksky64/imageProcessing-master | range2.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/range2.m | 523 | utf_8 | b9f23c3a4f73bf568a1b5793f516aa80 | % [MIN, MAX] = range2(MTX)
%
% Compute minimum and maximum values of MTX, returning them as a 2-vector.
% Eero Simoncelli, 3/97.
function [mn, mx] = range2(mtx)
%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD)
fprintf(1,'WARNING: You should compile the MEX version of "range2.c",\n found... |
github | jacksky64/imageProcessing-master | buildSCFpyrLevs.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/buildSCFpyrLevs.m | 2,187 | utf_8 | 26747285064a0eaa2f3db75013e80849 | % [PYR, INDICES] = buildSCFpyrLevs(LODFT, LOGRAD, XRCOS, YRCOS, ANGLE, HEIGHT, NBANDS)
%
% Recursive function for constructing levels of a steerable pyramid. This
% is called by buildSCFpyr, and is not usually called directly.
% Original code: Eero Simoncelli, 5/97.
% Modified by Javier Portilla to generate complex b... |
github | jacksky64/imageProcessing-master | clip.m | .m | imageProcessing-master/Matlab imaging/matlabPyrTools/clip.m | 814 | utf_8 | 13c82937ba69d5bc8c94b2ccca783e1b | % [RES] = clip(IM, MINVALorRANGE, MAXVAL)
%
% Clip values of matrix IM to lie between minVal and maxVal:
% RES = max(min(IM,MAXVAL),MINVAL)
% The first argument can also specify both min and max, as a 2-vector.
% If only one argument is passed, the range defaults to [0,1].
function res = clip(im, minValOrRange, m... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.