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github | VeroL/BioFrag-master | set_software_environment.m | .m | BioFrag-master/Software_functions/functions_DataImport/set_software_environment.m | 4,472 | utf_8 | 3ae5b9f54a20e74f68f2b0830b3fc599 | %set_software_environment
%adds the user path to the runvar struct - user path should not normally vary for different runs by the same user.
%runvar contains path and file names that depend on input data
%param contains naming conventions that do not vary between runs
function runvar = set_software_environment(runva... |
github | VeroL/BioFrag-master | importRaster.m | .m | BioFrag-master/Software_functions/functions_DataImport/importRaster.m | 1,021 | utf_8 | 7fb08343466b80322d2a6cadd1146532 | % importRaster
% import *geotiff* file (should be a projected map)
% saves map, reference object and tiff info
function [Lmap, R, ginfo, res, ismap_geotif] = importRaster(filename)
%set the last warning to an empty string
lastwarn('');
%try to get the geo info from the geotif file
ginfo=geot... |
github | VeroL/BioFrag-master | projectPlotsLatLon.m | .m | BioFrag-master/Software_functions/functions_DataImport/projectPlotsLatLon.m | 2,137 | utf_8 | 2ca95948ec5f49d517dcd4562a1dba10 | % function projectPlotsLatLon
% project the plot from Lat - Lon to x - y and indices of rows and columns
% using projection of associated raster, and stored in ginfo and R
% stores projected coords and indices as new fields in the plotLoc structure
% 1 x number of plots struct array with fields:
% name
% la... |
github | qbzhao/BCPF-master | plotGamma.m | .m | BCPF-master/TensorPlot/plotGamma.m | 1,954 | utf_8 | 14d8cc6c031eb0c440a1c4cdd09b14d1 | function plotGamma(as,bs)
% as = [1 1.5 2];
% b = 1;
% bs = b*ones(1,length(as));
% figure;
[styles, colors, symbols] = plotColors;
legendStr = cell(1, length(as));
%styles = {'k:', 'b--', 'r-'};
% textstr={'Iter.=20', 'Iter.=22', 'Iter.=25', 'Iter.=33'};
for i=1:length(as)
a = as(i); b = bs(i);
xs = linspace(... |
github | qbzhao/BCPF-master | voxel3.m | .m | BCPF-master/TensorPlot/voxel3.m | 6,439 | utf_8 | 6abc5ea0d29070388950b48d37bb1707 | function voxel3(T,varargin)
%VOXEL3 Visualize a third-order tensor with voxels.
% voxel3(T) visualizes the third-order tensor T by plotting its elements
% as voxels whose color and opacity are proportional to their value. The
% figure contains two sliders for setting the parameters thresh and
% degree (press 'h... |
github | qbzhao/BCPF-master | perfscore.m | .m | BCPF-master/Evaluation/perfscore.m | 204 | utf_8 | ff4c8ea0e026cbebc4c70e3f8ca173d0 |
function performance = perfscore(X_hat, X)
flag =1;
switch flag
case 1
err = X_hat(:) - X(:);
rse = sqrt(sum(err.^2)/sum(X(:).^2));
performance = rse;
end
|
github | qbzhao/BCPF-master | cp_apr.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/cp_apr.m | 7,920 | utf_8 | 5e7833d58cab0d616e25f7d89a374e1d | function [M,Minit,output] = cp_apr(X, R, varargin)
%CP_APR Compute nonnegative CP with alternating Poisson regression.
%
% M = CP_APR(X, R) computes an estimate of the best rank-R
% CP model of a tensor X using an alternating Poisson regression.
% The input X can be a tensor, sptensor, ktensor, or ttensor. The
% ... |
github | qbzhao/BCPF-master | export_data.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/export_data.m | 2,285 | utf_8 | 538198494bec6a8dff8f7556fb6f8255 | function export_data(A, fname)
%EXPORT_DATA Export tensor-related data to a file.
%
% EXPORT(A,FNAME) exports object A to the file named FNAME in plain ASCII
% text. Export currently supports exporting the following data types:
%
% - tensor
% - matrix
%
% In the case of a tensor, the first three line... |
github | qbzhao/BCPF-master | cp_nmu.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/cp_nmu.m | 4,976 | utf_8 | 633d7166c5a07d5533e57ba3ccb25162 | function [P,Uinit] = cp_nmu(X,R,opts)
%CP_NMU Compute nonnegative CP with multiplicative updates.
%
% P = CP_NMU(X,R) computes an estimate of the best rank-R PARAFAC
% model of a tensor X with nonnegative constraints on the factors.
% This version uses the Lee & Seung multiplicative updates from
% their NMF alg... |
github | qbzhao/BCPF-master | tt_combinator.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/tt_combinator.m | 12,324 | utf_8 | 9a8339d3a109b275537a2e5a3e9e3c9e | function [A] = tt_combinator(N,K,s1,s2)
%TT_COMBINATOR Perform basic permutation and combination samplings.
% COMBINATOR will return one of 4 different samplings on the set 1:N,
% taken K at a time. These samplings are given as follows:
%
% PERMUTATIONS WITH REPETITION/REPLACEMENT
% COMBINATOR(N,K,'p','r') -... |
github | qbzhao/BCPF-master | import_data.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/import_data.m | 1,738 | utf_8 | a654bb87c41d4fa404de6c65787299ab | function A = import_data(fname)
%IMPORT_DATA Import tensor-related data to a file.
%
% A = IMPORT_DATA(FNAME) imports an object A from the file named FNAME.
% The supported data types and formatting of the file are explained in
% EXPORT_DATA.
%
% See also TENSOR, EXPORT_DATA
%
%MATLAB Tensor Toolbox.
%Copyrigh... |
github | qbzhao/BCPF-master | create_problem.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/create_problem.m | 12,523 | utf_8 | 2ce0a9e79d83fb24168da4552f52c44a | function [info,params] = create_problem(varargin)
%CREATE_PROBLEM Create test problems for tensor factorizations.
%
% INFO = CREATE_PROBLEM('Param',value,...) creates a tensor factorization
% test problem. It generates a solution corresponding to a ktensor or a
% ttensor, and then it generates an example data ten... |
github | qbzhao/BCPF-master | renumber.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/@sptensor/private/renumber.m | 1,606 | utf_8 | b0e7ca64b6641a9f0ac50bef3e9ae5ef | function [newsubs, newsz] = renumber(subs, sz, range)
%RENUMBER indices for sptensor subsref
%
% [NEWSUBS,NEWSZ] = RENUMBER(SUBS,SZ,RANGE) takes a set of
% original subscripts SUBS with entries from a tensor of size
% SZ. All the entries in SUBS are assumed to be within the
% specified RANGE. These subscripts are t... |
github | qbzhao/BCPF-master | tucker_me.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/met/tucker_me.m | 4,560 | utf_8 | 3216bec3b59aecd3b4a11c8e4c559039 | function [T, max_mem, Uinit] = tucker_me(X, R, esz, opts)
%TUCKER_ME Memory-efficient Tucker higher-order orthogonal iteration.
%
% T = TUCKER_ME(X,R,ESZ) computes the best rank(R1,R2,..,Rn)
% approximation of tensor X, according to the specified dimensions
% in vector R. ESZ specifies the number of dimensions th... |
github | qbzhao/BCPF-master | tucker_me_test.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/met/tucker_me_test.m | 3,079 | utf_8 | 7cd5d5bf56ea1d8a82ef189d3c71d564 | function tucker_me_test
%TUCKER_ME_TEST Very simple tests of tucker_me.
% Code by Tamara Kolda and Jimeng Sun, 2008.
%
% Based on the paper:
% T. G. Kolda and J. Sun. Scalable Tensor Decompositions for Multi-aspect
% Data Mining. In: ICDM 2008: Proceedings of the 8th IEEE International
% Conference on Data M... |
github | qbzhao/BCPF-master | ttm_me.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/met/ttm_me.m | 4,085 | utf_8 | 241d426fee6a1d228fd2ca6c01db66b1 | function Y = ttm_me(X, U, edims, sdims, tflag)
%TTM_ME Memory-efficient sptensor times matrix.
%
% Y = TTM_ME(X, U, EDIMS, SDIMS, TFLAG) handles some dimensions
% elementwise and others in the standard way. Here, X is a sparse tensor
% (sptensor), U is a cell array of matrices of length ndims(X),
% EDIMS speci... |
github | qbzhao/BCPF-master | fixsigns.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/@ktensor/fixsigns.m | 3,162 | utf_8 | 8a24ae047737b6b7c2b6e62347dcd2d0 | function K = fixsigns(K,K0)
%FIXSIGNS Fix sign ambiguity of a ktensor.
%
% K = FIXSIGNS(K) makes it so that the largest magnitude entries for
% each vector in each factor of K are positive, provided that the
% sign on *pairs* of vectors in a rank-1 component can be flipped.
%
% K = FIXSIGNS(K,K0) returns a vers... |
github | qbzhao/BCPF-master | datadisp.m | .m | BCPF-master/SupportTools/tensor_toolbox_2.5/@ktensor/datadisp.m | 3,162 | utf_8 | 0b9d29cbfc884a9dbb6eec3a8729b7b1 | function datadisp(T, dimlabels, opts)
%DATADISP Special display of a ktensor.
%
% DATADISP(T,LABELS) displays the largest positive entries of each rank-1
% factor of T using the corresponding labels. LABELS is a cell array of
% size ndims(T) such that LABELS{n} is a string cell array of length
% size(T,n).
%
%... |
github | qbzhao/BCPF-master | BCPF_MP.m | .m | BCPF-master/Algorithms/BCPF_MP.m | 13,894 | utf_8 | 3ea23c1842ab0c4cfd6dacb7644c3a07 | function [model] = BCPF_MP(Y, varargin)
% Bayesian CP Factorization using Gaussian Mixture Priors for Image Completion
% Author : Qibin Zhao 2014
%
% -----------------------------------------------------------------------
% [model] = BCPF_MP(Y, 'PARAM1', val1, 'PARAM2', val2, ...)
%
% INPUTS
% Y - I... |
github | qbzhao/BCPF-master | BCPF.m | .m | BCPF-master/Algorithms/BCPF.m | 11,310 | utf_8 | 7b49cb33566b7ece3cd7c5a7a20517df | function [model] = BCPF(Y, varargin)
% Bayesian CP Factorization of a Complete Tensor
%
% [model] = BCPF(Y, 'PARAM1', val1, 'PARAM2', val2, ...)
%
% INPUTS
% Y - input tensor
% 'init' - Initialization method
% - 'ml' : SVD initilization (default)
% ... |
github | qbzhao/BCPF-master | BCPF_TC.m | .m | BCPF-master/Algorithms/BCPF_TC.m | 12,841 | utf_8 | fe51cb1e6bd62f8fb2d2fb655104cec4 | function [model] = BCPF_TC(Y, varargin)
% Bayesian CP Factorization for Tensor Completion
%
% [model] = BCPF_TC(Y, 'PARAM1', val1, 'PARAM2', val2, ...)
%
% INPUTS
% Y - Input tensor
% 'obs' - Binary (0-1) missing indicator tensor of same size as Y
% (0: missing; 1:... |
github | qbzhao/BCPF-master | BCPF_IC.m | .m | BCPF-master/Algorithms/BCPF_IC.m | 13,064 | utf_8 | bc4ceaf056e9bfdf2677bf1e749d77bd | function [model] = BCPF_IC(Y, varargin)
% Bayesian CP Factorization for Image Completion
% Author : Qibin Zhao 2014
%
% -----------------------------------------------------------------------
% [model] = BCPF_IC(Y, 'PARAM1', val1, 'PARAM2', val2, ...)
%
% INPUTS
% Y - Input tensor
% 'obs' ... |
github | ecmjohnson/mir_eval_images_compare-master | bss_eval_sources.m | .m | mir_eval_images_compare-master/matlab/bss_eval_sources.m | 7,144 | UNKNOWN | be42ac6002686ecaac5d43e3287341a7 | function [SDR, SIR, SAR, perm]=bss_eval_sources(se,s)
% BSS_EVAL_SOURCES Ordering and measurement of the separation quality for
% estimated source signals in terms of filtered true source, interference
% and artifacts.
%
% The decomposition allows a time-invariant filter distortion of length
% 512, as described in Sec... |
github | ecmjohnson/mir_eval_images_compare-master | bss_eval_images.m | .m | mir_eval_images_compare-master/matlab/bss_eval_images.m | 7,982 | utf_8 | cb6fffb798069ac23760d4c2d8bbef28 | function [SDR,ISR,SIR,SAR,perm]=bss_eval_images(ie,i)
% BSS_EVAL_IMAGES Ordering and measurement of the separation quality for
% estimated source spatial image signals in terms of true source, spatial
% (or filtering) distortion, interference and artifacts.
%
% [SDR,ISR,SIR,SAR,perm]=bss_eval_images(ie,i)
%
% Inputs:
... |
github | kolas001/Persistence1D-master | reconstruct1d.m | .m | Persistence1D-master/reconstruct1d/reconstruct1d.m | 2,406 | utf_8 | 95860e58b119ae47097085968a2c8bed | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% RECONSTRUCT1D
%
% Reconstruct smooth functions from noisy data, based on persistent features.
% This is an addon to Persistence1D class.
%
% This function reconstructs a smooth function which approximates the input data,
% based on persisten... |
github | kolas001/Persistence1D-master | build_laplacian.m | .m | Persistence1D-master/reconstruct1d/build_laplacian.m | 743 | utf_8 | aa67611527163222364b51c15dd32d23 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% BUILD_LAPLACIAN
%
% Creates a discrete Laplacian operator matrix
% for uniformly spaced 1D data.
%
% @param[in] len Length of the data vector to be reconstructed.
% @param[out] laplacian Discrete Laplacian operator matrix for t... |
github | kolas001/Persistence1D-master | turn_on_mosek.m | .m | Persistence1D-master/reconstruct1d/turn_on_mosek.m | 719 | utf_8 | e7d044e8cded79b77019a5262dfe720d | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% TURN_ON_MOSEK
%
% Adds MOSEK directories the Matlab's path.
% MOSEK optimizers automatically override Matlab's optimizers, any subsequent
% calls to optimizers will be solved by MOSEK.
%
% Before first use, comment out the unnecessary lines... |
github | kolas001/Persistence1D-master | build_equality_constraints.m | .m | Persistence1D-master/reconstruct1d/build_equality_constraints.m | 1,765 | utf_8 | de38b264ca039ef801ac6fb6d0c14a4a | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% BUILD_EQUALITY_CONSTRAINTS
%
% Creates the equality constraints matrix and vector for quadprog.
% Constrained vertices include - all persistence features (their paired minima and
% maxima), the global minimum and the domain edges. The reconstru... |
github | kolas001/Persistence1D-master | plot_reconstructed_data_with_equality_constraints.m | .m | Persistence1D-master/reconstruct1d/plot_reconstructed_data_with_equality_constraints.m | 1,345 | utf_8 | 1fd174e942ff1b21ea137a0e54b95057 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% PLOT_RECONSTRUCTED_DATA_WITH_EQUALITY_CONSTRAINTS
%
% Creates a new figure with a plot of the original data, the reconstructed data,
% and the constrained vertices.
% Adds an informative title for the plot and a legend.
%
% @param[in] data ... |
github | kolas001/Persistence1D-master | build_monotonicity_graph.m | .m | Persistence1D-master/reconstruct1d/build_monotonicity_graph.m | 4,060 | utf_8 | ed809bca10d330a74ad7e3ecdbb51825 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% BUILD_MONOTONICITY_GRAPH
%
% Builds a monotonicity graph based on the indices of the persistent extrema features
% which are used to reconstruct the data.
%
% Assumes that the indices of the local minima and maxima are matched.
%
% For 1D da... |
github | kolas001/Persistence1D-master | build_inequality_constraints.m | .m | Persistence1D-master/reconstruct1d/build_inequality_constraints.m | 1,659 | utf_8 | 2d4ba258a8fc19e52d9ca2460d93d0c2 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% BUILD_INEQUALITY_CONSTRAINTS
%
% Converts adjacency matrix graphs into
% linear inequality constraints to use with Matlab's quadprog.
% Inequality constraints are used to localize the local extrema
% created in the interpolation process.
%
... |
github | kolas001/Persistence1D-master | setup_persistence1d.m | .m | Persistence1D-master/reconstruct1d/setup_persistence1d.m | 659 | utf_8 | a88ef578df788258a00baedfd0f84cc1 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SETUP_PERSISTENCE1D
%
% Run this script from %Reconstruct1d% directory.
% Adds current directory and Persistence1D Matlab directory to Matlab's path.
% If run_persistence1d does not exist as a mex file, it tries to
% compile it. This only wo... |
github | kolas001/Persistence1D-master | reconstruct1d_with_persistence_res.m | .m | Persistence1D-master/reconstruct1d/reconstruct1d_with_persistence_res.m | 3,433 | utf_8 | 3b44706d012ffbadb3253485277b7470 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% RECONSTRUCT1D_WITH_PERSISTENCE_RES
%
% This function is called by Recosntruct1D to do the actual reconstruction
% after it finished running Persistence1D.
% Users can call this function directly with Persistence1D results if such
% are already... |
github | kolas001/Persistence1D-master | turn_off_mosek.m | .m | Persistence1D-master/reconstruct1d/turn_off_mosek.m | 566 | utf_8 | 2374cdb4197d437c59e19ab22e005ee4 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% TURN_OFF_MOSEK
%
% Removes MOSEK folders from Matlab path.
% Use this file to switch back from using MOSEK optimizers to Matlab optimizers.
%
% Comment out the unnecessary lines, according to your installation directory.
%%%%%%%%%%%%%%%%%%%%... |
github | kolas001/Persistence1D-master | plot_reconstructed_data.m | .m | Persistence1D-master/reconstruct1d/plot_reconstructed_data.m | 1,224 | utf_8 | 4f28bcc0195889267bd852353110f83f | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% PLOT_RECONSTRUCTED_DATA
%
% Creates a new figure with a plot of the original data, the reconstructed data,
% and the constrained vertices.
% Adds an informative title for the plot and a legend.
%
% @param[in] data Original data vector
... |
github | kolas001/Persistence1D-master | filter_features_by_persistence.m | .m | Persistence1D-master/matlab/filter_features_by_persistence.m | 480 | utf_8 | 36ba1b3242498a4a3bc7544d019f9b09 | % Returns a 3-column matrix [minIndex maxIndex persistence]
% of paired extrema whose persistence is greater than threshold
function [filtered_pairs] = filter_features_by_persistence(min, max, persistence, threshold)
persistence_features_indices = persistence > threshold;
%create a vector with all ext... |
github | kolas001/Persistence1D-master | get_max_indices.m | .m | Persistence1D-master/matlab/get_max_indices.m | 287 | utf_8 | 8b5e48dd3e223f861ae6cd4ccc72fb07 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% GET_MAX_INDICES
%
% Returns the indices of the local maxima from the
% results of filtered pairs
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ idx ] = get_max_indices( pairs )
idx = pairs(:,2);
end |
github | kolas001/Persistence1D-master | plot_data_with_features.m | .m | Persistence1D-master/matlab/plot_data_with_features.m | 476 | utf_8 | d5922901cbccf91c80d05bb66082ffe3 | % Creates a plot with markers at extrema specified by indices
%
% data One dimensional data vector.
% indices One dimensional vector of indices (integer) values, all must be
% greater than 0 and less than or equal to the number of elemenets in data
function [] = plot_data_with_featu... |
github | kolas001/Persistence1D-master | visualize_features.m | .m | Persistence1D-master/matlab/visualize_features.m | 755 | utf_8 | d78fa18c97ef2a99bac7e99b2d6e663a | % A function which creates a graph with input data and marks maxima and minima.
% Assumes it recieves a data file with indices of extrema features
function [ ] = visualize_features( datafilename, resfilename )
datafile = fopen(datafilename);
data_cell_array = textscan(datafile, '%f'); %reads all of the fi... |
github | kolas001/Persistence1D-master | get_min_indices.m | .m | Persistence1D-master/matlab/get_min_indices.m | 288 | utf_8 | 2ca1808cbe1d223182319e332d406556 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% GET_MIN_INDICES
%
% Returns the indices of the local minima from the
% results of filtered pairs
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ idx ] = get_min_indices( pairs )
idx = pairs(:,1);
end |
github | phcerdan/isotropic_wavelet_collection-master | buildWpyr.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/buildWpyr.m | 2,705 | utf_8 | 1c4ff4ecab086742bb93ea70f1e9e015 | % [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 ... |
github | phcerdan/isotropic_wavelet_collection-master | pyrBand.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/pyrBand.m | 406 | utf_8 | 0cad3c43324c84276383d06f6f6a5b60 | % 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, b... |
github | phcerdan/isotropic_wavelet_collection-master | buildFullSFpyr2.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/buildFullSFpyr2.m | 3,031 | utf_8 | 4a1191e10f08e0d219040bdc7864a575 | % [PYR, INDICES, STEERMTX, HARMONICS] = buildFullSFpyr2(IM, HEIGHT, ORDER, TWIDTH)
%
% Construct a steerable pyramid on matrix IM, in the Fourier domain.
% Unlike the standard transform, subdivides the highpass band into
% orientations.
function [pyr,pind,steermtx,harmonics] = buildFullSFpyr2(im, ht, order, twidth)
%... |
github | phcerdan/isotropic_wavelet_collection-master | var2.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/var2.m | 393 | utf_8 | 46f01727b1895ebb42fea033f942c562 | % 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)) / (prod(size(mtx)) - 1);
else
res = sum(sum(real(mtx-mn).^2)) + i... |
github | phcerdan/isotropic_wavelet_collection-master | reconSFpyrLevs.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/reconSFpyrLevs.m | 2,013 | utf_8 | bff5aabf51101f5a06bf4a3a59d0de00 | % 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,lo... |
github | phcerdan/isotropic_wavelet_collection-master | rcosFn.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/rcosFn.m | 1,167 | utf_8 | e668c06ae18191dea3d63f2c3035cdcb | % [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... |
github | phcerdan/isotropic_wavelet_collection-master | vector.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/vector.m | 240 | utf_8 | 99db83250fc29065ecdb3bff900669d3 | % [VEC] = vector(MTX)
%
% Pack elements of MTX into a column vector. Same as VEC = MTX(:)
% Previously named "vectorize" (changed to avoid overlap with Matlab's
% "vectorize" function).
function vec = vector(mtx)
vec = mtx(:);
|
github | phcerdan/isotropic_wavelet_collection-master | showIm.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/showIm.m | 6,332 | utf_8 | fc722445cecdb4685413ce683c5c414f | % 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 n... |
github | phcerdan/isotropic_wavelet_collection-master | upConv.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/upConv.m | 2,750 | utf_8 | c396c00dd8d50ee2a930427fead849be | % 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 det... |
github | phcerdan/isotropic_wavelet_collection-master | range2.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/range2.m | 477 | utf_8 | 4b8ed3c6da04efbf2862f0b36b91d524 | % [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 code for "range2", found in ... |
github | phcerdan/isotropic_wavelet_collection-master | reconFullSFpyr2.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/reconFullSFpyr2.m | 3,257 | utf_8 | 447f5204894b159fbb4ea4de2dccf877 | % RES = reconFullSFpyr2(PYR, INDICES, LEVS, BANDS, TWIDTH)
%
% Reconstruct image from its steerable pyramid representation, in the Fourier
% domain, as created by buildSFpyr.
% Unlike the standard transform, subdivides the highpass band into
% orientations.
function res = reconFullSFpyr2(pyr, pind, levs, bands, twidt... |
github | phcerdan/isotropic_wavelet_collection-master | steer2HarmMtx.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/steer2HarmMtx.m | 1,874 | utf_8 | 8efc390a04b19bdec63526c7bbd1407e | % MTX = steer2HarmMtx(HARMONICS, ANGLES, REL_PHASES)
%
% Compute a steering matrix (maps a directional basis set onto the
% angular Fourier harmonics). HARMONICS is a vector specifying the
% angular harmonics contained in the steerable basis/filters. ANGLES
% (optional) is a vector specifying the angular positi... |
github | phcerdan/isotropic_wavelet_collection-master | subMtx.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/subMtx.m | 441 | utf_8 | 18fe3fa6f65d3fbc8cd38682559c3619 | % MTX = subMtx(VEC, DIMENSIONS, START_INDEX)
%
% Reshape a portion of VEC starting from START_INDEX (optional,
% default=1) to the given dimensions.
% Eero Simoncelli, 6/96.
function mtx = subMtx(vec, sz, offset)
if (exist('offset') ~= 1)
offset = 1;
end
vec = vec(:);
sz = sz(:);
if (size(sz,1) ... |
github | phcerdan/isotropic_wavelet_collection-master | spyrHt.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/spyrHt.m | 321 | utf_8 | acae1ee5a657f2e4d75b2e60e954a515 | % [HEIGHT] = spyrHt(INDICES)
%
% Compute height of steerable pyramid with given index matrix.
% Eero Simoncelli, 6/96.
function [ht] = spyrHt(pind)
nbands = spyrNumBands(pind);
% Don't count lowpass, or highpass residual bands
if (size(pind,1) > 2)
ht = (size(pind,1)-2)/nbands;
else
ht = 0;
end
... |
github | phcerdan/isotropic_wavelet_collection-master | spyrBand.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/spyrBand.m | 853 | utf_8 | 24b93860a4de0346982a44edcb390ab5 | % [LEV,IND] = spyrBand(PYR,INDICES,LEVEL,BAND)
%
% Access a band from a steerable pyramid.
%
% LEVEL indicates the scale (finest = 1, coarsest = spyrHt(INDICES)).
%
% BAND (optional, default=1) indicates which subband
% (1 = vertical, rest proceeding anti-clockwise).
% Eero Simoncelli, 6/96.
fun... |
github | phcerdan/isotropic_wavelet_collection-master | wpyrBand.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/wpyrBand.m | 912 | utf_8 | ec3f9e1a26cc9775110888b67417876a | % RES = wpyrBand(PYR, INDICES, LEVEL, BAND)
%
% Access a subband from a separable QMF/wavelet pyramid.
%
% LEVEL (optional, default=1) indicates the scale (finest = 1,
% coarsest = wpyrHt(INDICES)).
%
% BAND (optional, default=1) indicates which subband (1=horizontal,
% 2=vertical, 3=diagonal).
% Eero ... |
github | phcerdan/isotropic_wavelet_collection-master | innerProd.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/innerProd.m | 415 | utf_8 | e759ef690a2e4eadf5f81e0b8282888f | % RES = innerProd(MTX)
%
% Compute (MTX' * MTX) efficiently (i.e., without copying the matrix)
function res = innerProd(mtx)
%% NOTE: THIS CODE SHOULD NOT BE USED! (MEX FILE IS CALLED INSTEAD)
fprintf(1,'WARNING: You should compile the MEX version of "innerProd.c",\n found in the MEX subdirectory of ... |
github | phcerdan/isotropic_wavelet_collection-master | reconSFpyr.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/reconSFpyr.m | 3,141 | utf_8 | bb26483e3afdf1b4b46da4b35efaec7b | % RES = reconSFpyr(PYR, INDICES, LEVS, BANDS, TWIDTH)
%
% Reconstruct image from its steerable pyramid representation, in the Fourier
% domain, as created by buildSFpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% each ... |
github | phcerdan/isotropic_wavelet_collection-master | corrDn.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/corrDn.m | 2,195 | utf_8 | 61533e2b3b4b039c523120d2ec1363aa | % RES = corrDn(IM, FILT, EDGES, STEP, START, STOP)
%
% Compute correlation of matrices IM with FILT, followed by
% downsampling. 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 stri... |
github | phcerdan/isotropic_wavelet_collection-master | maxPyrHt.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/maxPyrHt.m | 628 | utf_8 | 00ee02d58475fcdf592ef59a15fa0af3 | % HEIGHT = maxPyrHt(IMSIZE, FILTSIZE)
%
% Compute maximum pyramid height for given image and filter sizes.
% Specifically: the number of corrDn operations that can be sequentially
% performed when subsampling by a factor of 2.
% Eero Simoncelli, 6/96.
function height = maxPyrHt(imsz, filtsz)
imsz = imsz(:)... |
github | phcerdan/isotropic_wavelet_collection-master | buildSFpyrLevs.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/buildSFpyrLevs.m | 1,887 | utf_8 | e58fd43a3b9e8101ef5ada17c5116eed | % [PYR, INDICES] = buildSFpyrLevs(LODFT, LOGRAD, XRCOS, YRCOS, ANGLE, HEIGHT, NBANDS)
%
% Recursive function for constructing levels of a steerable pyramid. This
% is called by buildSFpyr, and is not usually called directly.
% Eero Simoncelli, 5/97.
function [pyr,pind] = buildSFpyrLevs(lodft,log_rad,Xrcos,Yrc... |
github | phcerdan/isotropic_wavelet_collection-master | pixelAxes.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/pixelAxes.m | 2,053 | utf_8 | 177c4d9d58d2280676a45dd83ef3e50a | % [ZOOM] = pixelAxes(DIMS, ZOOM)
%
% Set the axes of the current plot to cover a multiple of DIMS pixels,
% thereby eliminating screen aliasing artifacts when displaying an
% image of size DIMS.
%
% ZOOM (optional, default='same') expresses the desired number of
% samples displayed per screen pixel. It shoul... |
github | phcerdan/isotropic_wavelet_collection-master | pyrBandIndices.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/pyrBandIndices.m | 613 | utf_8 | a5387a946b44f72051b9a72faae6130c | % RES = pyrBandIndices(INDICES, BAND_NUM)
%
% Return indices for accessing a subband from a pyramid
% (gaussian, laplacian, QMF/wavelet, steerable).
% Eero Simoncelli, 6/96.
function indices = pyrBandIndices(pind,band)
if ((band > size(pind,1)) | (band < 1))
error(sprintf('BAND_NUM must be between 1 an... |
github | phcerdan/isotropic_wavelet_collection-master | pointOp.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/pointOp.m | 1,159 | utf_8 | 040e1c3bc4afc4f9cfab4aa964e16082 | % RES = pointOp(IM, LUT, ORIGIN, INCREMENT, WARNINGS)
%
% Apply a point operation, specified by lookup table LUT, to image IM.
% LUT must be a row or column vector, and is assumed to contain
% (equi-spaced) samples of the function. ORIGIN specifies the
% abscissa associated with the first sample, and INCREMENT sp... |
github | phcerdan/isotropic_wavelet_collection-master | reconWpyr.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/reconWpyr.m | 4,140 | utf_8 | de1ba8ead0f28186c92b026ec2d0631a | % RES = reconWpyr(PYR, INDICES, FILT, EDGES, LEVS, BANDS)
%
% Reconstruct image from its separable orthonormal QMF/wavelet pyramid
% representation, as created by buildWpyr.
%
% PYR is a vector containing the N pyramid subbands, ordered from fine
% to coarse. INDICES is an Nx2 matrix containing the sizes of
% e... |
github | phcerdan/isotropic_wavelet_collection-master | shift.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/shift.m | 453 | utf_8 | 3e12f9ab9679c3cc88b56885c167121a | % [RES] = shift(MTX, OFFSET)
%
% Circular shift 2D matrix samples by OFFSET (a [Y,X] 2-vector),
% such that RES(POS) = MTX(POS-OFFSET).
function res = shift(mtx, offset)
dims = size(mtx);
offset = mod(-offset,dims);
res = [ mtx(offset(1)+1:dims(1), offset(2)+1:dims(2)), ...
mtx(offset(1)+1:... |
github | phcerdan/isotropic_wavelet_collection-master | namedFilter.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/namedFilter.m | 3,278 | utf_8 | 837312a94d58a44dd9503ab3736cffe7 | % KERNEL = NAMED_FILTER(NAME)
%
% Some standard 1D filter kernels. These are scaled such that
% their L2-norm is 1.0.
%
% binomN - binomial coefficient filter of order N-1
% haar: - Haar wavelet.
% qmf8, qmf12, qmf16 - Symmetric Quadrature Mirror Filters [Johnston80]
% daub2,daub3,... |
github | phcerdan/isotropic_wavelet_collection-master | wpyrHt.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/wpyrHt.m | 285 | utf_8 | 5b256ddf8ffadaa7888328a31159035e | % [HEIGHT] = wpyrHt(INDICES)
%
% Compute height of separable QMF/wavelet pyramid with given index matrix.
% Eero Simoncelli, 6/96.
function [ht] = wpyrHt(pind)
if ((pind(1,1) == 1) | (pind(1,2) ==1))
nbands = 1;
else
nbands = 3;
end
ht = (size(pind,1)-1)/nbands;
|
github | phcerdan/isotropic_wavelet_collection-master | buildSFpyr.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/buildSFpyr.m | 3,362 | utf_8 | c23de2136a85b1bc58eff471a98d44aa | % [PYR, INDICES, STEERMTX, HARMONICS] = buildSFpyr(IM, HEIGHT, ORDER, TWIDTH)
%
% Construct a steerable pyramid on matrix IM, in the Fourier domain.
% This is similar to buildSpyr, except that:
%
% + Reconstruction is exact (within floating point errors)
% + It can produce any number of orientation bands.
... |
github | phcerdan/isotropic_wavelet_collection-master | modulateFlip.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/modulateFlip.m | 480 | utf_8 | 9f2392c42cf1ad73accf1b25c3327ac7 | % [HFILT] = modulateFlipShift(LFILT)
%
% QMF/Wavelet highpass filter construction: modulate by (-1)^n,
% reverse order (and shift by one, which is handled by the convolution
% routines). This is an extension of the original definition of QMF's
% (e.g., see Simoncelli90).
% Eero Simoncelli, 7/96.
function [h... |
github | phcerdan/isotropic_wavelet_collection-master | spyrNumBands.m | .m | isotropic_wavelet_collection-master/BLS-GSM_Denoising/denoise/Simoncelli_PyrTools/spyrNumBands.m | 500 | utf_8 | 2173f8841142e73d6f87cb5242a2f9a7 | % [NBANDS] = spyrNumBands(INDICES)
%
% Compute number of orientation bands in a steerable pyramid with
% given index matrix. If the pyramid contains only the highpass and
% lowpass bands (i.e., zero levels), returns 0.
% Eero Simoncelli, 2/97.
function [nbands] = spyrNumBands(pind)
if (size(pind,1) == 2)... |
github | phcerdan/isotropic_wavelet_collection-master | Tikhonov_Regularization.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/Tikhonov_Regularization.m | 5,216 | utf_8 | 13080d76d419afe5519c81a986a45e08 | function [x_Reg1, x_Reg2, x_Reg3, x_inv, H_Reg1, H_Reg2, H_Reg3, H_Reg4] = ...
Tikhonov_Regularization (y,lambda,extra_lambda, H,HH,SS, ...
matrix_3, matrix_4, matrix_5, matrix_6, extension_case, type_of_symmetry,option)
if (strcmp(extension_case, 'periodic') == 1)
[x_Reg1, x_Reg2, x_Reg3, x_inv, H_Re... |
github | phcerdan/isotropic_wavelet_collection-master | SURE_LET_GUI.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/SURE_LET_GUI.m | 29,294 | utf_8 | c9c48e2076ab2f9d131a7731356d77f6 | function varargout = SURE_LET_GUI(varargin)
% SURE_LET_GUI M-file for SURE_LET_GUI.fig
% SURE_LET_GUI, by itself, creates a new SURE_LET_GUI or raises the existing
% singleton*.
%
% H = SURE_LET_GUI returns the handle to a new SURE_LET_GUI or the handle to
% the existing singleton*.
%
% SURE_LE... |
github | phcerdan/isotropic_wavelet_collection-master | saveimage_mat.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/saveimage_mat.m | 1,158 | utf_8 | e9abcb2a0d0339ce4e036d57b56408eb |
%% salva una imagen .mat o de otro tipo y si cancelas devuelve -1 si no 1
function [value,name]= saveimage_mat(image,default_name)
[filename, pathname, filterindex] = uiputfile( { '*.mat'}, 'Save as',default_name);
if isequal(filename,0) | isequal(pathname,0)
value=-1;
name = '';
else
name = strcat... |
github | phcerdan/isotropic_wavelet_collection-master | design_transform_matrix.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/design_transform_matrix.m | 5,911 | utf_8 | 00d896f16a7ebf467b5bc1cebae28b34 | function [matrix_1, matrix_2, matrix_3, matrix_4, matrix_5, matrix_6, matrix_7, matrix_8] = ...
design_transform_matrix(M,N,extension_case,type_of_symmetry,option)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% this program is to generate some transformation matrices used for DCT
% inpu... |
github | phcerdan/isotropic_wavelet_collection-master | estimation_noise_variance.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/estimation_noise_variance.m | 2,349 | utf_8 | 1943f0de767031f9d12d1cc6fa324b6f | function est_noise_variance = estimation_noise_variance (y)
[M,N] = size(y);
M_min = 2^(floor(log2(M))); N_min = 2^(floor(log2(N))); N_min = min(M_min,N_min);
y_cut = y(1:N_min,1:N_min);
WaveletFiltType1 = daubcqf(6,'min'); DecompLevels = 3;
% WaveletFiltType2 = daubcqf(2,'min'); ThreshFactor = 3.0;
[tempW, t... |
github | phcerdan/isotropic_wavelet_collection-master | gaussian_blur_size.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/gaussian_blur_size.m | 6,493 | utf_8 | 12d3af962fd5b3ae930e6a4a11772b29 | function varargout = gaussian_blur_size (varargin)
% GAUSSIAN_BLUR_SIZE M-file for gaussian_blur_size.fig
% GAUSSIAN_BLUR_SIZE, by itself, creates a new GAUSSIAN_BLUR_SIZE or raises the existing
% singleton*.
%
% H = GAUSSIAN_BLUR_SIZE returns the handle to a new GAUSSIAN_BLUR_SIZE or the handle to
% ... |
github | phcerdan/isotropic_wavelet_collection-master | Diagonal_element.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/Diagonal_element.m | 8,017 | utf_8 | 65c3018c150d4b44fa16d72c845e06b4 | function [diagonal_element_H_1,diagonal_element_H_2, diagonal_element_H_3, ...
diagonal_element_L_1,diagonal_element_L_2,diagonal_element_L_3] = ...
Diagonal_element ...
(x,H_Reg1,H_Reg2,H_Reg3,H_Reg4, it, matrix_7,matrix_8, extension_case,type_of_symmetry,option)
%% periodic boundary conditi... |
github | phcerdan/isotropic_wavelet_collection-master | Image_blurring.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/Image_blurring.m | 10,317 | utf_8 | 1365d9af6b751dae556a4fb56c66be63 | function [blurred_image,h] = Image_blurring(image,filter, extension_case,type_of_symmetry)
image = double(image); option= 'DCT';
switch extension_case
case 'periodic'
[blurred_image,h] = Image_distortion_periodic(image,filter);
case 'symmetric'
if (strcmp(type_of_symmetry,'whole_p... |
github | phcerdan/isotropic_wavelet_collection-master | diagonal_any_size.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/diagonal_any_size.m | 12,268 | utf_8 | 6315147b054e072a9ca2fbdbea247c57 | function [LH, HL, HH, LL] = diagonal_any_size (x,type_of_symmetry,it)
[M,N] = size(x); M = M-1; N = N-1;
%% half-point symmetry
if (strcmp(type_of_symmetry, 'half_point') == 1)
shift = 2^(it-1);
h0_LH = 4*(x(1,1)+x(1,shift+1)-x(shift+1,1)-x(shift+1,shift+1));
h0_HL = 4*(x(1,1)-x(1,shift+1)+x(shift+1,1)... |
github | phcerdan/isotropic_wavelet_collection-master | loadimage_mat.m | .m | isotropic_wavelet_collection-master/SURE_LET_GUI/loadimage_mat.m | 728 | utf_8 | e25d36e2c0d737c5ddb9d966fed36eb9 | %% load image of any format
function [image,im_name]= loadimage_mat()
[filename,pathname] = uigetfile({ '*.tif; *.bmp; *.gif; *.jpg','Image files (*.tif, *.bmp, *.gif, *.jpg)'; ...
'*.mat','Mat files (*.mat)'; '*.*', 'All files (*.*)'},'Select the Picture');
if isequal(filename,0) | isequal(pathname,0)
... |
github | phcerdan/isotropic_wavelet_collection-master | PlotWaveletCoeffs.m | .m | isotropic_wavelet_collection-master/matlab_pusposki/SteerableWavelets/PlotWaveletCoeffs.m | 3,476 | utf_8 | 20e6f1de6c2f2040b8d611fd90e079b0 | function PlotWaveletCoeffs(Q,type)
%
% function PlotWaveletCoeffs(Q,type)
%
%
% plot wavelet coefficients.
%
%
% INPUTS
% ------
%
% Q cell array of wavelet coefficients per scale
%
% type one of the two strings 'allinone' (to plot each channel and
% scale in a subplot in a single fig... |
github | phcerdan/isotropic_wavelet_collection-master | h_Meyer_a.m | .m | isotropic_wavelet_collection-master/matlab_pusposki/SteerableWavelets/Wavelet/Radial/h_Meyer_a.m | 1,097 | utf_8 | 2fd06aab5f107efbfdcb4661d5175f34 | function hr = h_Meyer_a(r)
%
% function hr = h_Meyer_a(r)
%
%
% for Meyer wavelet.
%
%
% INPUTS
% ------
%
% r Fourier radius vector
%
%
%
% OUTPUT
% ------
%
% hr radial Fourier value at r
%
%
% REFERENCE
% ---------
% You are free to use this software for research purposes, but you should
% no... |
github | phcerdan/isotropic_wavelet_collection-master | h_Meyer.m | .m | isotropic_wavelet_collection-master/matlab_pusposki/SteerableWavelets/Wavelet/Radial/h_Meyer.m | 1,118 | utf_8 | 778db2012f7e04eef0e5cb3f308d553d | function hr = h_Meyer(r)
%
% function hr = h_Meyer(r)
%
%
% for Meyer wavelet.
%
%
% INPUTS
% ------
%
% r Fourier radius vector
%
%
%
% OUTPUT
% ------
%
% hr radial Fourier value at r
%
%
% REFERENCE
% ---------
% You are free to use this software for research purposes, but you should
% not re... |
github | phcerdan/isotropic_wavelet_collection-master | h_Meyer_d.m | .m | isotropic_wavelet_collection-master/matlab_pusposki/SteerableWavelets/Wavelet/Radial/h_Meyer_d.m | 1,116 | utf_8 | 7fbe55c0a91b0e8bbfdb38543a2b9f43 | function hr = h_Meyer_d(r)
%
% function hr = h_Meyer_d(r)
%
%
% for Meyer wavelet.
%
%
% INPUTS
% ------
%
% r Fourier radius vector
%
%
%
% OUTPUT
% ------
%
% hr radial Fourier value at r
%
%
% REFERENCE
% ---------
% You are free to use this software for research purposes, but you should
% no... |
github | phcerdan/isotropic_wavelet_collection-master | tanWavMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/tanWavMask.m | 2,302 | utf_8 | 1e5b03e2729a75f1111aec228f1f74df | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP, maskLP] = tanWavMask(w,h,d,downsampling,sizeInit)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp... |
github | phcerdan/isotropic_wavelet_collection-master | omegaWav.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/omegaWav.m | 2,014 | utf_8 | 9885ca76e63fbf9b9ec1a1398ebc63ea | % author: Adrien Depeursinge, adrien.depeursinge@epfl.ch
function [maskHP, maskLP] = omegaWav(w,h,d,omega,downsampling,sizeInit)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp = [(1:c0(... |
github | phcerdan/isotropic_wavelet_collection-master | halfSizeEllipsoidalMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/halfSizeEllipsoidalMask.m | 572 | utf_8 | fdca34bc60535e8032b9ee23bd5417a8 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP maskLP] = halfSizeEllipsoidalMask(w,h,d)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp = [(1:c0(3))-1 (d:-1:(... |
github | phcerdan/isotropic_wavelet_collection-master | aldroubiMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/aldroubiMask.m | 1,324 | utf_8 | d2a801838e1b25a26d7cc58ffb863742 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP maskLP] = aldroubiMask(w,h,d, order)
if nargin<4
order = 3;
end
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1)... |
github | phcerdan/isotropic_wavelet_collection-master | papadakisMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/papadakisMask.m | 1,046 | utf_8 | 575a998dc4c522f9e7923cccbb49c2e2 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP, maskLP] = papadakisMask(w,h,d)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp = [(1:c0(3))-1 (d:-... |
github | phcerdan/isotropic_wavelet_collection-master | opt310Mask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/opt310Mask.m | 1,120 | utf_8 | 96f126187aaf9a88fb0b60499b173203 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP, maskLP] = opt310Mask(w,h,d)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp = [(1:c0(3))-1 (d:-1:(... |
github | phcerdan/isotropic_wavelet_collection-master | isotropicBandlimitedAnalysis.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/isotropicBandlimitedAnalysis.m | 5,780 | utf_8 | f7bcbf3663c5c6b00493fde6d967b141 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [LP, HP] = isotropicBandlimitedAnalysis(Im, dim, J, isotropicWaveletType, spatialDomain, downsampling, isotropicWaveletOmega)
% multidimensional isotropic wavelet decomposition
%
% input:
% ------
% Im: multidimensional i... |
github | phcerdan/isotropic_wavelet_collection-master | simoncelliMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/simoncelliMask.m | 2,082 | utf_8 | 2a2bf89f87d44f4112dd25e9b9f8ca36 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP,maskLP] = simoncelliMask(w,h,d,downsampling,sizeInit)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
z... |
github | phcerdan/isotropic_wavelet_collection-master | isotropicBandlimitedSynthesis.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/isotropicBandlimitedSynthesis.m | 5,285 | utf_8 | 56840b534a117df99983a85621f40acb | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function LP = isotropicBandlimitedSynthesis(LP, HP, dim, isotropicWaveletType, spatialDomain, downsampling)
% multidimensional isotropic wavelet decomposition
%
% input:
% ------
% LP: low pass coefficients
% HP: wavelet coefficients
% di... |
github | phcerdan/isotropic_wavelet_collection-master | meyerMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/meyerMask.m | 1,167 | utf_8 | 82b1b662b613aac6e6a12ba0ad0ba5a8 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP maskLP] = meyerMask(w,h,d)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp = [(1:c0(3))-1 (d:-1:(c0(3)+1))-c0(... |
github | phcerdan/isotropic_wavelet_collection-master | sqrtWavMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/sqrtWavMask.m | 2,230 | utf_8 | 5380f175d23ba49605e3f8f99fcf561d | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP,maskLP] = sqrtWavMask(w,h,d,downsampling,sizeInit)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zram... |
github | phcerdan/isotropic_wavelet_collection-master | absWavMask.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/waveletTransform/absWavMask.m | 2,212 | utf_8 | d6daf8362a5d3cc82385c58c989502d3 | % author: Nicolas Chenouard, nicolas.chenouard@epfl.ch
% part of the monogenicTk
function [maskHP maskLP] = absWavMask(w,h,d,downsampling,sizeInit)
c0 = [ceil((w+1)/2), ceil((h+1)/2), ceil((d+1)/2)];
%rJ = c0/2;
yramp = [(1:c0(1))-1 (w:-1:(c0(1)+1))-c0(1)].^2;
xramp = [(1:c0(2))-1 (h:-1:(c0(2)+1))-c0(2)].^2;
zramp... |
github | phcerdan/isotropic_wavelet_collection-master | RieszPrepareTransform.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/Riesz/RieszPrepareTransform.m | 14,825 | utf_8 | a6ca3b2470bf9316fd0574546a5d9fa1 | function config = RieszPrepareTransform(config)
% RIESZPREPARETRANSFORM Prepare the Riesz filters for Riesz pyramid in 3D
%
% config = RieszPrepareTransform(config) Prepare the Riesz filters for the
% Riesz pyramid in 3D corresponding to the RieszConfig object config.
% Returns a new RieszConfig object config containin... |
github | phcerdan/isotropic_wavelet_collection-master | RieszConfig.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/Riesz/RieszConfig/RieszConfig.m | 3,125 | utf_8 | aed0dfb81efb820657ca01b95156e190 | % RIESZCONFIG class of objects characterizing 3D Riesz-wavelet transforms
%
% -------------------------------------------------------------------------
%
% AUTHOR:
% Nicolas Chenouard, nicolas.chenouard?epfl.ch
% Ecole Polytechnique Federale de Lausanne
%
% -------------------------------------------------------... |
github | phcerdan/isotropic_wavelet_collection-master | WorkerObjWrapper.m | .m | isotropic_wavelet_collection-master/AlignedRiesz3D_cid/monogenic/WorkerObjWrapper.m | 7,900 | utf_8 | 4ce51bfcd0c4fdf185d2fe01961c9870 | % WorkerObjWrapper - manage persistent state on MATLABPOOL workers
%
% The WorkerObjWrapper is designed for situations where a piece of data is
% needed multiple times inside the body of a PARFOR loop or an SPMD block, and
% this piece of data is both expensive to create, and does not need to be
% re-created multiple t... |
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