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github | baowenbo/SelfExSR-master | nextFig.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/nextFig.m | 363 | utf_8 | 94a66b00983cd3840ff1cc88f118a022 | % nextFig (MAXFIGS, SKIP)
%
% Make figure number mod((GCF+SKIP), MAXFIGS) the current figure.
% MAXFIGS is optional, and defaults to 2.
% SKIP is optional, and defaults to 1.
% Eero Simoncelli, 2/97.
function nextFig(maxfigs, skip)
if (exist('maxfigs') ~= 1)
maxfigs = 2;
end
if (exist('skip') ~= 1)
skip = 1;... |
github | baowenbo/SelfExSR-master | zconv2.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/zconv2.m | 1,164 | utf_8 | cd266795530db4cb146c1038383316f3 | % RES = ZCONV2(MTX1, MTX2, CTR)
%
% Convolution of two matrices, with boundaries handled as if the larger mtx
% lies in a sea of zeros. 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)
% arg... |
github | baowenbo/SelfExSR-master | mkZonePlate.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkZonePlate.m | 633 | utf_8 | d88329c8d374e54e124222c825679768 | % IM = mkZonePlate(SIZE, AMPL, PHASE)
%
% Make a "zone plate" image:
% AMPL * cos( r^2 + PHASE)
% SIZE specifies the matrix size, as for zeros().
% AMPL (default = 1) and PHASE (default = 0) are optional.
% Eero Simoncelli, 6/96.
function [res] = mkZonePlate(sz, ampl, ph)
sz = sz(:);
if (size(sz,1) == 1)
sz ... |
github | baowenbo/SelfExSR-master | steer2HarmMtx.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/steer2HarmMtx.m | 1,803 | utf_8 | 35816be985c308717168260dc97419d8 | % 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 position of... |
github | baowenbo/SelfExSR-master | mkAngularSine.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkAngularSine.m | 845 | utf_8 | 78a5e0afe3fef5c42804516e2ea1ccc8 | % IM = mkAngularSine(SIZE, HARMONIC, AMPL, PHASE, ORIGIN)
%
% Make an angular sinusoidal image:
% AMPL * sin( HARMONIC*theta + PHASE),
% where theta is the angle about the origin.
% SIZE specifies the matrix size, as for zeros().
% AMPL (default = 1) and PHASE (default = 0) are optional.
% Eero Simoncelli, 2/97.... |
github | baowenbo/SelfExSR-master | mkRamp.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkRamp.m | 1,110 | utf_8 | 28989822e19c604a816a287a4bee873d | % IM = mkRamp(SIZE, DIRECTION, SLOPE, INTERCEPT, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a ramp function, with given gradient DIRECTION
% (radians, CW from X-axis, default = 0), SLOPE (per pixel, default =
% 1), and a value of INTERCEPT (default = 0) at the... |
github | baowenbo/SelfExSR-master | histoMatch.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/histoMatch.m | 858 | utf_8 | 8936fc2eadacc591ecdffe5967726780 | % RES = histoMatch(MTX, N, X)
%
% Modify elements of MTX so that normalized histogram matches that
% specified by vectors X and N, where N contains the histogram counts
% and X the histogram bin positions (see histo).
% Eero Simoncelli, 7/96.
function res = histoMatch(mtx, N, X)
if ( exist('histo') == 3 )
[oN, oX]... |
github | baowenbo/SelfExSR-master | subMtx.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/subMtx.m | 420 | utf_8 | c660029ce728dcb8c540c9cf419fa7bc | % 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) ~= 2)
error('D... |
github | baowenbo/SelfExSR-master | showLpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/showLpyr.m | 5,421 | utf_8 | 0646b94ae144cf6160a44f50e67f8dd5 | % RANGE = showLpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a Laplacian (or Gaussian) pyramid, specified by PYR and
% INDICES (see buildLpyr), in the current figure.
%
% RANGE is a 2-vector specifying the values that map to black and
% white, respectively. These values are scaled by
% LEVEL_SCALE_F... |
github | baowenbo/SelfExSR-master | sp1Filters.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/sp1Filters.m | 9,435 | utf_8 | 81cfbf726744492bee2374b9b564ebdf | % 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 | baowenbo/SelfExSR-master | spyrHt.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/spyrHt.m | 305 | utf_8 | 06e83c1f45c1a99e242fa7ea37093a11 | % [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 | baowenbo/SelfExSR-master | spyrBand.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/spyrBand.m | 819 | utf_8 | 7d15b24244e521c9e85c68b3037f569b | % [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.
function res =... |
github | baowenbo/SelfExSR-master | wpyrBand.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/wpyrBand.m | 873 | utf_8 | 12e08d90ccd6261b737e2d3c5ac5b1e7 | % 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 Simoncelli... |
github | baowenbo/SelfExSR-master | skew2.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/skew2.m | 478 | utf_8 | b304767117ab43e408c5757ab9e3402d | % S = SKEW2(MTX,MEAN,VAR)
%
% Sample skew (third moment divided by variance^3/2) of a matrix.
% MEAN (optional) and VAR (optional) make the computation faster.
function res = skew2(mtx, mn, v)
if (exist('mn') ~= 1)
mn = mean2(mtx);
end
if (exist('v') ~= 1)
v = var2(mtx,mn);
end
if (isreal(mtx))
res = mean(... |
github | baowenbo/SelfExSR-master | imStats.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/imStats.m | 1,217 | utf_8 | aab8c3264c5939806bbca5657c925734 | % imStats(IM1,IM2)
%
% Report image (matrix) statistics.
% When called on a single image IM1, report min, max, mean, stdev, skew,
% and kurtosis (4th moment about the mean, divided by squared variance)
%
% When called on two images (IM1 and IM2), report min, max, mean,
% stdev of the difference, and also SNR (relative... |
github | baowenbo/SelfExSR-master | innerProd.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/innerProd.m | 314 | utf_8 | e2ea166f9b3ddbc08cb54ef697343d06 | % RES = innerProd(MTX)
%
% Compute (MTX' * MTX) efficiently (i.e., without copying the matrix)
%
% NOTE: This function used to call a MEX function (C code) to avoid copying, but
% newer versions of matlab have eliminated the overhead of the
% simpler form below.
function res = innerProd(mtx)
res = mtx' * mtx;
|
github | baowenbo/SelfExSR-master | reconSFpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/reconSFpyr.m | 3,114 | utf_8 | ebb08817efc597692b9026a84e2a6906 | % 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 subband... |
github | baowenbo/SelfExSR-master | corrDn.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/corrDn.m | 2,272 | utf_8 | cce615994bded51a721560b782ea9eef | % 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 string dete... |
github | baowenbo/SelfExSR-master | vectify.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/vectify.m | 186 | utf_8 | 1da0e519af06d6baaff1decc40dc3702 | % [VEC] = columnize(MTX)
%
% Pack elements of MTX into a column vector. Just provides a
% function-call notatoin for the operation MTX(:)
function vec = columnize(mtx)
vec = mtx(:);
|
github | baowenbo/SelfExSR-master | maxPyrHt.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/maxPyrHt.m | 603 | utf_8 | 019e5ce9d036a893ec979c63f51ff54a | % 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(:);
filtsz =... |
github | baowenbo/SelfExSR-master | buildSpyrLevs.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/buildSpyrLevs.m | 861 | utf_8 | a5fa1e98161a8137e666c1406c28a748 | % [PYR, INDICES] = buildSpyrLevs(LOIM, HEIGHT, LOFILT, BFILTS, EDGES)
%
% Recursive function for constructing levels of a steerable pyramid. This
% is called by buildSpyr, and is not usually called directly.
% Eero Simoncelli, 6/96.
function [pyr,pind] = buildSpyrLevs(lo0,ht,lofilt,bfilts,edges);
if (ht <= 0)
py... |
github | baowenbo/SelfExSR-master | showSpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/showSpyr.m | 5,213 | utf_8 | bc643d88c491a55c0a0abb5e86c91757 | % RANGE = showSpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a steerable pyramid, specified by PYR and INDICES
% (see buildSpyr), in the current figure. The highpass band is not shown.
%
% RANGE is a 2-vector specifying the values that map to black and
% white, respectively. These values are scaled... |
github | baowenbo/SelfExSR-master | histo.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/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 | baowenbo/SelfExSR-master | lplot.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/lplot.m | 1,009 | utf_8 | 87c83936af0b318d55077862065b56df | % lplot(VEC, XRANGE)
%
% Plot VEC, a vector, in "lollipop" format.
% XRANGE (optional, default = [1,length(VEC)]), should be a 2-vector
% specifying the X positions (for labeling purposes) of the first and
% last sample of VEC.
% Mark Liberman, Linguistics Dept, UPenn, 1994.
function lplot(x,xrange)
if (exist('... |
github | baowenbo/SelfExSR-master | blurDn.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/blurDn.m | 1,364 | utf_8 | d528010bfd2b4c50e7dbb2aede757214 | % RES = blurDn(IM, LEVELS, FILT)
%
% Blur and downsample an image. 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 separably as a 1D
% convolution kernel in X and Y), or a matrix (applied as a 2D
% convolution ke... |
github | baowenbo/SelfExSR-master | reconSpyrLevs.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/reconSpyrLevs.m | 1,126 | utf_8 | 1f10e3cea5d79a4f4a30d979f3bb1298 | % RES = reconSpyrLevs(PYR,INDICES,LOFILT,BFILTS,EDGES,LEVS,BANDS)
%
% Recursive function for reconstructing levels of a steerable pyramid
% representation. This is called by reconSpyr, and is not usually
% called directly.
% Eero Simoncelli, 6/96.
function res = reconSpyrLevs(pyr,pind,lofilt,bfilts,edges,levs,bands)... |
github | baowenbo/SelfExSR-master | mkSine.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkSine.m | 1,725 | utf_8 | 35c6d83f70860ab6defcbdcf7366d89e | % IM = mkSine(SIZE, PERIOD, DIRECTION, AMPLITUDE, PHASE, ORIGIN)
% or
% IM = mkSine(SIZE, FREQ, AMPLITUDE, PHASE, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a 2D sinusoid, with given PERIOD (in pixels),
% DIRECTION (radians, CW from X-axis, default = 0),... |
github | baowenbo/SelfExSR-master | buildSFpyrLevs.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/buildSFpyrLevs.m | 1,891 | utf_8 | 52ab858761411b2a5a75e7de641259cf | % [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,Yrcos,angl... |
github | baowenbo/SelfExSR-master | pixelAxes.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/pixelAxes.m | 1,983 | utf_8 | 1b2a2bfddd425fee2ccd276f3948cec7 | % [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 should be a ... |
github | baowenbo/SelfExSR-master | pyrBandIndices.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/pyrBandIndices.m | 589 | utf_8 | 28f90484526c294bdb24bdbf8014012d | % 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 and number o... |
github | baowenbo/SelfExSR-master | pointOp.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/pointOp.m | 1,207 | utf_8 | f3b4f566bebca0b7f56477785bb89fc5 | % 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 specifi... |
github | baowenbo/SelfExSR-master | reconWpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/reconWpyr.m | 3,992 | utf_8 | 859a606f214bce204ce3c9ea18c0fc87 | % 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
% each sub... |
github | baowenbo/SelfExSR-master | showWpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/showWpyr.m | 5,491 | utf_8 | 4bc0b260425f553810ae04afced17fda | % RANGE = showWpyr (PYR, INDICES, RANGE, GAP, LEVEL_SCALE_FACTOR)
%
% Display a separable QMF/wavelet pyramid, specified by PYR and INDICES
% (see buildWpyr), in the current figure.
%
% RANGE is a 2-vector specifying the values that map to black and
% white, respectively. These values are scaled by
% LEVEL_SCALE_FAC... |
github | baowenbo/SelfExSR-master | imGradient.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/imGradient.m | 1,547 | utf_8 | b13a85bea09c3f4e0c1e6140c9a31f7a | % [dx, dy] = imGradient(im, edges)
%
% Compute the gradient of the image using smooth derivative filters
% optimized for accurate direction estimation. Coordinate system
% corresponds to standard pixel indexing: X axis points rightward. Y
% axis points downward. EDGES specify boundary handling (see corrDn
% for opt... |
github | baowenbo/SelfExSR-master | lpyrHt.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/lpyrHt.m | 233 | utf_8 | dd0b45926abda2b3fe9aaec0a4f4d214 | % [HEIGHT] = lpyrHt(INDICES)
%
% Compute height of Laplacian pyramid with given its INDICES matrix.
% See buildLpyr.m
% Eero Simoncelli, 6/96.
function [ht] = lpyrHt(pind)
% Don't count lowpass residual band
ht = size(pind,1)-1;
|
github | baowenbo/SelfExSR-master | buildGpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/buildGpyr.m | 1,931 | utf_8 | 3f1cfe5507fe34b51d71a87d955abbf5 | % [PYR, INDICES] = buildGpyr(IM, HEIGHT, FILT, EDGES)
%
% Construct a Gaussian pyramid on matrix IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is 1+maxPyrHt(size(IM),size(FILT)).
% You can also specify 'auto' to use this value.
%
% FILT (optional) can be a string naming a standar... |
github | baowenbo/SelfExSR-master | shift.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/shift.m | 438 | utf_8 | 2ac42b171e4ca683ef1d361eaf331870 | % [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:dims(1), 1:o... |
github | baowenbo/SelfExSR-master | namedFilter.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/namedFilter.m | 3,207 | utf_8 | 8f45ef65fca60f53e0f734c4f1ae01bf | % 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,daub4 -... |
github | baowenbo/SelfExSR-master | buildLpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/buildLpyr.m | 2,632 | utf_8 | b62aad457634fd598b373448741860cd | % [PYR, INDICES] = buildLpyr(IM, HEIGHT, FILT1, FILT2, EDGES)
%
% Construct a Laplacian pyramid on matrix (or vector) IM.
%
% HEIGHT (optional) specifies the number of pyramid levels to build. Default
% is 1+maxPyrHt(size(IM),size(FILT)). You can also specify 'auto' to
% use this value.
%
% FILT1 (optional) can be a s... |
github | baowenbo/SelfExSR-master | mkAngle.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkAngle.m | 788 | utf_8 | 126297224256c6e9077dc58f4094c39a | % IM = mkAngle(SIZE, PHASE, ORIGIN)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of the polar angle (in radians, CW from the
% X-axis, ranging from -pi to pi), relative to angle PHASE (default =
% 0), about ORIGIN pixel (default = (size+1)/2).
% Eero Simoncelli, 6/96.
fu... |
github | baowenbo/SelfExSR-master | wpyrHt.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/wpyrHt.m | 270 | utf_8 | 18e1a724afee99389db70484333eb05a | % [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 | baowenbo/SelfExSR-master | sp0Filters.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/sp0Filters.m | 6,140 | utf_8 | 0c5cd7bafff21efacd2a8ec71af90f49 | % 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 | baowenbo/SelfExSR-master | sp5Filters.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/sp5Filters.m | 6,949 | utf_8 | 305fb0c0ca0709fc34ca6c5b4bb91712 | % 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 | baowenbo/SelfExSR-master | steer.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/steer.m | 1,990 | utf_8 | 3db4dd948e0ece7c7237330b7d4f191e | % RES = STEER(BASIS, ANGLE, HARMONICS, STEERMTX)
%
% Steer BASIS to the specfied ANGLE.
%
% BASIS should be a matrix whose columns are vectorized rotated copies of a
% steerable function, or the responses of a set of steerable filters.
%
% ANGLE can be a scalar, or a column vector the size of the basis.
%
% HARMO... |
github | baowenbo/SelfExSR-master | mkGaussian.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkGaussian.m | 1,565 | utf_8 | 1f55e73fbc9155a38607b0667da2d7f3 | % IM = mkGaussian(SIZE, COVARIANCE, MEAN, AMPLITUDE)
%
% Compute a matrix with dimensions SIZE (a [Y X] 2-vector, or a
% scalar) containing a Gaussian function, centered at pixel position
% specified by MEAN (default = (size+1)/2), with given COVARIANCE (can
% be a scalar, 2-vector, or 2x2 matrix. Default = (min(size... |
github | baowenbo/SelfExSR-master | factorial.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/factorial.m | 273 | utf_8 | 370971eae7a2351704973c452848d194 | %% RES = factorial(NUM)
%
% Factorial function that works on matrices (matlab's does not).
% EPS, 11/02
function res = factorial(num)
res = ones(size(num));
ind = find(num > 0);
if ( ~isempty(ind) )
subNum = num(ind);
res(ind) = subNum .* factorial(subNum-1);
end
|
github | baowenbo/SelfExSR-master | entropy2.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/entropy2.m | 693 | utf_8 | c637630f7ac8912e5cb30f67551aece7 | % E = ENTROPY2(MTX,BINSIZE)
%
% Compute the first-order sample entropy of MTX. Samples of VEC are
% first discretized. Optional argument BINSIZE controls the
% discretization, and defaults to 256/(max(VEC)-min(VEC)).
%
% NOTE: This is a heavily biased estimate of entropy (it is too
% small) when you don't have much... |
github | baowenbo/SelfExSR-master | buildSFpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/buildSFpyr.m | 3,256 | utf_8 | 84c0a17ac90df74f317c29833c54ffa3 | % [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 | baowenbo/SelfExSR-master | spyrLev.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/spyrLev.m | 668 | utf_8 | 8d25ccc2790a62ab21a20cc3d0772706 | % [LEV,IND] = spyrLev(PYR,INDICES,LEVEL)
%
% Access a level from a steerable 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] = spyrLev(pyr,pind,level)
nbands = spyrNumBa... |
github | baowenbo/SelfExSR-master | pgmWrite.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/pgmWrite.m | 3,119 | utf_8 | 6425008296069df51c5c30ee1c011850 | % RANGE = pgmWrite(MTX, FILENAME, RANGE, TYPE, COMMENT)
%
% Write a MatLab matrix to a pgm (graylevel image) file.
% This format is accessible from the XV image browsing utility.
%
% RANGE (optional) is a 2-vector specifying the values that map to
% black and white, respectively. Passing a value of 'auto' (default)
% ... |
github | baowenbo/SelfExSR-master | modulateFlip.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/modulateFlip.m | 461 | utf_8 | 92f12f8068fcf49b9863851f106a5aa3 | % [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 [hfilt] = m... |
github | baowenbo/SelfExSR-master | mkFract.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkFract.m | 843 | utf_8 | f0d97e35133978ade3a5fe34dea5d08a | % IM = mkFract(SIZE, FRACT_DIM)
%
% Make a matrix of dimensions SIZE (a [Y X] 2-vector, or a scalar)
% containing fractal (pink) noise with power spectral density of the
% form: 1/f^(5-2*FRACT_DIM). Image variance is normalized to 1.0.
% FRACT_DIM defaults to 1.0
% Eero Simoncelli, 6/96.
%% TODO: Verify that this m... |
github | baowenbo/SelfExSR-master | mkSquare.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/mkSquare.m | 2,344 | utf_8 | 7d9553e391552cd91cdd6d81348404e2 | % IM = mkSquare(SIZE, PERIOD, DIRECTION, AMPLITUDE, PHASE, ORIGIN, TWIDTH)
% or
% IM = mkSine(SIZE, FREQ, AMPLITUDE, PHASE, ORIGIN, TWIDTH)
%
% Compute a matrix of dimension SIZE (a [Y X] 2-vector, or a scalar)
% containing samples of a 2D square wave, with given PERIOD (in
% pixels), DIRECTION (radians, CW from ... |
github | baowenbo/SelfExSR-master | spyrNumBands.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/spyrNumBands.m | 480 | utf_8 | 4a10cb68438c7dfc197ec00066f48fd4 | % [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)
nbands ... |
github | baowenbo/SelfExSR-master | reconSpyr.m | .m | SelfExSR-master/quant_eval/ifcvec_release/matlabPyrTools/reconSpyr.m | 2,671 | utf_8 | ea9e71a5f8a76eadbe8c1a2472d89344 | % RES = reconSpyr(PYR, INDICES, FILTFILE, EDGES, LEVS, BANDS)
%
% Reconstruct image from its steerable pyramid representation, as created
% by buildSpyr.
%
% 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 compa... |
github | baowenbo/SelfExSR-master | colorborder.m | .m | SelfExSR-master/source/colorborder.m | 485 | utf_8 | ac962f01a2cc8f911bb79cb9e87893ef | % im = colorborder(im, bord, color)
%
% This function puts a border of width 'bord' around the image 'im'
% using the color [r g b].
%
% Example:
% >> im = colorborder(im, 5, [1 0 0]); % puts a red border
function im = colorborder(im, bord, color)
im = padarray(im, [bord bord 0], 0);
for chan=1:3,
im(1:bord, ... |
github | baowenbo/SelfExSR-master | sr_src_domain_tform.m | .m | SelfExSR-master/source/sr_src_domain_tform.m | 4,187 | utf_8 | 8a3173f30704896c721a5aa4e89901ff | function uvTformDataT = sr_src_domain_tform(uvPlaneID, modelPlane, uvTformAData, srcPos, trgPos)
% SR_SRC_DOMAIN_TFORM
%
% The function estimates the source patch domain transformation based on
% the source and target position, the plane parameters and apply the affine
% transformation
%
% Input:
% - uvPlaneID: ... |
github | baowenbo/SelfExSR-master | sr_vis_nnf.m | .m | SelfExSR-master/source/sr_vis_nnf.m | 4,157 | utf_8 | 8fccf70fc47c207508cc90796188b3f5 | function NNFVis = sr_vis_nnf(NNF, imgPyrH, opt)
mask = NNF.uvPix.mask;
[imgH, imgW] = size(mask);
bdMask = edge(mask);
bdMask = bdMask(:,:,ones(3,1));
mask = mask(:,:,ones(3,1));
%% uvTfomMapVis
[NNFVis.uvTfomMapVis, NNFVis.uvPosMap] = vis_tform_map(NNF.uvTformH.map);
%% scale map
uvTformScale = sr_scale_tform(NN... |
github | baowenbo/SelfExSR-master | sr_update_NNF.m | .m | SelfExSR-master/source/sr_update_NNF.m | 16,480 | utf_8 | ee47bfe3025aa55d1a8d948d543ebd8a | % === Nearest neighbor field update ===
function [NNF, nUpdate]= sr_update_NNF(trgPatch, imgPyr, NNF, modelPlane, opt)
%
% SR_UPDATE_NNF:
%
% One iteration of random search and spatial propagation (generalized PatchMatch)
% for nearest neighbor field estimation
%
% Input:
% - trgPatch: target patches
% - imgPyr: ... |
github | baowenbo/SelfExSR-master | sr_init_lvl_nnf.m | .m | SelfExSR-master/source/sr_init_lvl_nnf.m | 13,754 | utf_8 | a39bb8a6e9d400b4c63c4e8d7c0c01f8 | function NNF = sr_init_lvl_nnf(imgSize, NNF, modelPlane, opt)
% SR_INIT_LVL_NNF
%
% Initialize the nearest neighbor field for the current level
%
% Input:
% - imgSize : [imgHeight, imgWeight]
% - NNF : nearest neighbor field from previous level
% - modelPlane: plane parameters
% - opt : parameter... |
github | baowenbo/SelfExSR-master | sr_patch_cost_plane.m | .m | SelfExSR-master/source/sr_patch_cost_plane.m | 1,110 | utf_8 | 3b1e7bbe4477025ab49c0f7c8a8e81ba |
function costPlane = sr_patch_cost_plane(mLogLPlaneProb, uvPlaneIDData, trgPixInd, srcPixSub)
% SR_PATCH_COST_PLANE
%
% Compute planar costs (See Eqn 11 in the paper)
%
% Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, Johannes Kopf
% Image Completion using Planar Structure Guidance
% ACM Transactions on Graphics (P... |
github | baowenbo/SelfExSR-master | sr_extract_plane.m | .m | SelfExSR-master/source/sr_extract_plane.m | 8,299 | utf_8 | 088c0cd502a2fad4c91023ffac8673fc | function modelPlane = sr_extract_plane(imgPath, imgName, opt)
% SR_EXTRACT_PLANE:
%
% Extract plane model from an image
%
% The code is adapted and modified from the paper
%
% Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, Johannes Kopf
% Image Completion using Planar Structure Guidance
% ACM Transactions on Graphics ... |
github | baowenbo/SelfExSR-master | truncquad_edges.m | .m | SelfExSR-master/external/imrender/ojw/truncquad_edges.m | 991 | utf_8 | 65da09454d333dbc210133db7f83f622 | %TRUNCQUAD_EDGES Compute truncated quadratic pairwise texture costs
%
% edge_costs = truncquad_edges(I, modes, EI, thresh)
%
% Computes the truncated quadratic cost of each combination of pairs of
% modes in each edge, based on the minimum distance to a pair of pixels in
% the corresponding library.
%
% IN:
% I - ... |
github | baowenbo/SelfExSR-master | truncquad_modes.m | .m | SelfExSR-master/external/imrender/ojw/truncquad_modes.m | 1,257 | utf_8 | e5dd582ad3cf1cf775a845a5153564a6 | %TRUNCQUAD_MODES Compute colour modes for a truncated quadratic kernel
%
% [modes depth energy inliers] = truncquad_modes(I, thresh[, use_variance[, search_width]])
%
% Computes the colour modes for each set of input vectors, using the
% truncated quadratic kernel.
%
% IN:
% I - CxLxM array of L input colour vecto... |
github | baowenbo/SelfExSR-master | P_interp.m | .m | SelfExSR-master/external/imrender/ojw/P_interp.m | 1,710 | utf_8 | bfd871b477f56c3666071139a9e297b7 | function P = P_interp(first, last, frames)
%P_INTERP Linear interpolation between 2 projection matrices
%
% P = P_interp(first, last, frames)
%
% Creates a series off projection matrices interpolated from two projection
% matrices.
%
%IN:
% first - 3x4 The first projection matrix in the series, and the first
% ... |
github | baowenbo/SelfExSR-master | ojw_segpln.m | .m | SelfExSR-master/external/imrender/ojw/ojw_segpln.m | 5,527 | utf_8 | c3047b7a99a599a6e3c81314c38bce02 | function [D info] = ojw_segpln(images, P, disps, R, options)
%OJW_SEGPLN Generate piecewise-planar disparity proposals for stereo
%
% [D info] = ojw_segpln(images, P, disps, R, options)
%
% Generates a set of disparity map proposals for the first input image.
%
%IN:
% images - 1xN cell array of input images, exclu... |
github | baowenbo/SelfExSR-master | ibr_fuse_depths.m | .m | SelfExSR-master/external/imrender/ojw/ibr_fuse_depths.m | 14,886 | utf_8 | a41a47213ed61c2471f651077b3c1085 | function [N info energy V] = ibr_fuse_depths(D1, D2, vals)
%IBR_FUSE_DEPTHS Fuse two disparity images using QPBO
%
% [N info energy V] = ibr_fuse_depths(D0, D1, vals)
%
% Given two disparity maps and input data (image sequence, projection
% matrices and configuration parameters) this function will fuse the two
% map... |
github | baowenbo/SelfExSR-master | find_interactions.m | .m | SelfExSR-master/external/imrender/ojw/find_interactions.m | 833 | utf_8 | acd0aba5cc7cb9b51d8cabed1f3e7e4e | %FIND_INTERACTIONS Given ordered 3d points, find occlusions pairs
%
% P = find_interactions(V)
%
% Given a set of 3d image coordinates (pixel coordinates plus depth),
% ordered such that the x coordinates are monotonically increasing, as are
% the y coordinates within each block of identical x coordinates, finds any... |
github | baowenbo/SelfExSR-master | ibr_gen_cliques.m | .m | SelfExSR-master/external/imrender/ojw/ibr_gen_cliques.m | 824 | utf_8 | ab9f840b30d267c4fda0b683e0047578 | %IBR_GEN_CLIQUES Generate graph cliques given visibilities
%
% [U P PI T TI] = ibr_gen_cliques(IA, VA, V, Kocc, method)
%
% Generates graph cliques for the algorithm described in Woodford etal.'s
% BMVC 2007 paper:
% "On New View Synthesis Using Multiview Stereo".
%
% IN:
% IA - 1xN cell array of input images.
%... |
github | baowenbo/SelfExSR-master | sc.m | .m | SelfExSR-master/external/imrender/ojw/sc.m | 32,017 | utf_8 | 7b64797be6553b3b3250f486d0a6bdba | function I = sc(I, varargin)
%SC Display/output truecolor images with a range of colormaps
%
% Examples:
% sc(image)
% sc(..., limits)
% sc(..., colormap)
% out = sc(...)
% sc
%
% Generates a truecolor RGB image based on the input values in 'image' and
% any maximum and minimum limits specified, using the co... |
github | baowenbo/SelfExSR-master | vgg_progressbar.m | .m | SelfExSR-master/external/imrender/vgg/vgg_progressbar.m | 4,145 | utf_8 | 103bb66d5d244cbe9bfdc91e347c4acc | function retval = vgg_progressbar(tag, proportion, min_update_interval)
%VGG_PROGRESSBAR Simple progress bar implementation
%
% retval = vgg_progressbar(tag, proportion[, min_update_interval])
%
% Starts, updates and closes a progress bar according to the proportion of
% time left.
%
% IN:
% tag - String that appe... |
github | baowenbo/SelfExSR-master | vgg_interp2.m | .m | SelfExSR-master/external/imrender/vgg/vgg_interp2.m | 1,300 | utf_8 | 516021873d8cd64400aca7ba1a55a569 | %VGG_INTERP2 Fast 2d interpolation for images
%
% V = vgg_interp2(A, X, Y)
% V = vgg_interp2(A, X, Y, interp_mode)
% V = vgg_interp2(A, X, Y, interp_mode, oobv)
%
% 2d interpolation on a regular grid - similar to matlab's interp2() but
% with much less overhead, and supports multiple channels and types. Note
% that wh... |
github | baowenbo/SelfExSR-master | vgg_trw_bp.m | .m | SelfExSR-master/external/imrender/vgg/vgg_trw_bp.m | 2,464 | utf_8 | 1bea0b224b9f2fd9e2925be397dd6234 | %VGG_TRW_BP Multi-label MRF energy minimization using TRW-S & LBP
%
% [L energy lower_bound] = vgg_trw_bp(UE, PI, PE, [options])
%
% Uses the message passing algorithms TRW-S or LBP to solve an MRF energy
% minimization problem with binary or multiple labels.
%
% This function uses mexified C++ code written by Vladi... |
github | baowenbo/SelfExSR-master | vgg_qpbo.m | .m | SelfExSR-master/external/imrender/vgg/vgg_qpbo.m | 4,399 | utf_8 | 45a43bafc096c77a8cbb48a634c81587 | %VGG_QPBO Binary MRF energy minimization on non-submodular graphs
%
% [L stats] = vgg_qpbo(UE, PI, PE, [TI, TE], [options])
%
% Uses the Quadratic Pseudo-Boolean Optimization (QPBO - an extension of
% graph cuts that solves the "roof duality" problem, allowing graphs with
% submodular edges to be solved) to solve bi... |
github | baowenbo/SelfExSR-master | vgg_segment_ms.m | .m | SelfExSR-master/external/imrender/vgg/vgg_segment_ms.m | 1,568 | utf_8 | b108bae8de81cc5b1e473ea45e88c0a3 | %VGG_SEGMENT_MS Mean shift image segmentation
%
% S = vgg_segment_ms(A, h_s, h_r, min_sz[, W])
%
% Segmentation of an image using mean shift.
%
% Uses EDISON code by Chris Christoudias and Bogdan Georgescu, downloaded
% from http://www.caip.rutgers.edu/riul/research/code/EDISON/index.html,
% and based on the follow... |
github | baowenbo/SelfExSR-master | vgg_segment_gb.m | .m | SelfExSR-master/external/imrender/vgg/vgg_segment_gb.m | 1,258 | utf_8 | 3ca54b83301a213cd446a43d2fb6731d | %VGG_SEGMENT_GB Graph-based image segmentation
%
% S = vgg_segment_gb(A, sigma, K, min_sz[, compress])
%
% Segmentation of an image using the graph-based method described in:
% "Efficient Graph-Based Image Segmentation.", Pedro F. Felzenszwalb and
% Daniel P. Huttenlocher. International Journal of Computer Visio... |
github | nickabattista/Holy_Grail-master | lets_do_LBM.m | .m | Holy_Grail-master/Lets_Do_LBM/MATLAB/lets_do_LBM.m | 26,115 | utf_8 | bf082389b158aaf7f2022bc629771332 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% 2D LATTICE BOLTZMANN (LBM) SIMULATION
% Author: Nicholas A. Battista
% Created: 11/4/2014 (MATLAB)
% Created: 5/5/2017 (Python3)
% Modified: September 13, 2019 (MATLAB, Python)
%
% D2Q9 Model:
% c6 c2 c5
% \ | /
% c3- ... |
github | nickabattista/Holy_Grail-master | print_vtk_files.m | .m | Holy_Grail-master/Lets_Do_LBM/MATLAB/print_vtk_files.m | 5,799 | utf_8 | 3ed7d3493f48b2b1dcab61a0baeafdbd | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FUNCTION: gives appropriate string number for filename in printing the
% .vtk files.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function print_vtk_files(ctsave,U,V,vorticity,Lx,Ly,nx,ny,Bound_Pts)
... |
github | nickabattista/Holy_Grail-master | FFT_NS_Solver.m | .m | Holy_Grail-master/FFT_NS_Solver/MATLAB/FFT_NS_Solver.m | 20,893 | utf_8 | e19ddacf84183f5a048d14021763df08 | function FFT_NS_Solver()
%
% Solves the Navier-Stokes equations in the Vorticity-Stream Function
% formulation using a pseudo-spectral approach w/ FFT
%
% Author: Nicholas A. Battista
% Created: Novermber 29, 2014
% Modified: January 30, 2020
%
% Equations of Motion:
% D (Vorticity) /Dt = nu*Laplacian(Vorticity)
% ... |
github | nickabattista/Holy_Grail-master | print_vtk_files.m | .m | Holy_Grail-master/FFT_NS_Solver/MATLAB/print_vtk_files.m | 5,448 | utf_8 | 8fd4ecdbff9437b15da63a008d706737 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FUNCTION: gives appropriate string number for filename in printing the
% .vtk files.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function print_vtk_files(ctsave,U,V,vorticity,Lx,Ly,nx,ny)
%Give spac... |
github | nickabattista/Holy_Grail-master | give_Initial_Vorticity_From_Velocity_Field_VTK_File.m | .m | Holy_Grail-master/FFT_NS_Solver/MATLAB/Get_Initial_Vorticity_From_Stored_Vector_Field/give_Initial_Vorticity_From_Velocity_Field_VTK_File.m | 4,250 | utf_8 | c9dc6b82dc50de09ee63d2f0823eb85c | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FUNCTION: from a u.XXXX.vtk file, we will extract U,V (x-Velocity and
% y-Velocity components), compute the background vorticity, and then return
% it to initialize a simulation.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | nickabattista/Holy_Grail-master | panels_panels.m | .m | Holy_Grail-master/Panels/panels_panels.m | 13,969 | utf_8 | dff36230f421505ace4c9d3812657be3 | function panels_panels()
%
% Panel Method: Here used to solve the incompressible potential flow
% equations in 2D.
%
% Author: Nicholas A. Battista
% Created: January 6, 2015
% Modified: February 5, 2015
%
% Assumptions for Incompressible Potential Flow
% 1. Inviscid
% ... |
github | nickabattista/Holy_Grail-master | FitzHugh_Nagumo_1d.m | .m | Holy_Grail-master/FitzHugh_Nagumo/MATLAB/FitzHugh_Nagumo_1d.m | 4,669 | utf_8 | de0d94ce6c64152f16eb8f96fa45075a | function FitzHugh_Nagumo_1d()
% This script solves the FitzHugh-Nagumo Equations in 1d, which are
% a simplified version of the more complicated Hodgkin-Huxley Equations.
%
% Author: Nick Battista
% Created: 09/11/2015
%
% Equations:
% dv/dt = D*Laplacian(v) + v*(v-a)*(v-1) - w - I(t)
% dw/dt = eps*(v-gamma*w)
%
% ... |
github | nickabattista/Holy_Grail-master | Projection_Method.m | .m | Holy_Grail-master/Projection_Method/MATLAB/Projection_Method.m | 17,400 | utf_8 | 097d95c027f1880b17e140d78eaa741f | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Solves the Navier-Stokes equations in the Velocity-Pressure formulation
% using a predictor-corrector projection method approach
%
% Author: Nicholas A. Battista
% Created: Novermber 24, 2014
% Modified: September 11, 2019
%
% Equations o... |
github | nickabattista/Holy_Grail-master | print_vtk_files.m | .m | Holy_Grail-master/Projection_Method/MATLAB/print_vtk_files.m | 4,817 | utf_8 | dad8de3df40125bb2fe01c7ed5379c66 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FUNCTION: gives appropriate string number for filename in printing the
% .vtk files.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function print_vtk_files(ctsave,U,V,P,vorticity,Lx,Ly,nx,ny)
%Give sp... |
github | abadams/ImageStack-master | saveTMP.m | .m | ImageStack-master/util/MATLAB/saveTMP.m | 1,799 | utf_8 | f0dabae592b74de7abd0f9e9b2e6e904 | % Write an up to 4-dimensional matrix 'a' to 'filename' in the TMP format.
%
% a should be in the MATLAB convention: [height width channels frames]
% a will be permuted to the TMP file convention:
% [width height frames channels]
%
% Format specification is here:
% https://github.com/abadams/ImageStack/blob/master/sr... |
github | abadams/ImageStack-master | loadTMP.m | .m | ImageStack-master/util/MATLAB/loadTMP.m | 1,243 | utf_8 | 3e5b2ea78976980f975cb059d85cd709 | % Load an ImageStack TMP file, an up to 4-dimensional array of integer or
% floating point data.
%
% output permutes the dimensions so that the output is:
% [height width channels frames]
%
% Format specification is here:
% https://github.com/abadams/ImageStack/blob/master/src/FileTMP.cpp
function output = loadTMP(file... |
github | abadams/ImageStack-master | testTMP.m | .m | ImageStack-master/util/MATLAB/testTMP.m | 2,495 | utf_8 | a5d9ef7602253cea8b5df592070c53d6 | % Test TMP file reading and writing by saving to the given filename,
% reading it back, and checking for equality.
function ok = testTMP(temp_filename)
% Some decent size that's not too big.
% Pick odd sizes on purpose.
height = 767;
width = 1021;
channels = 3;
frames = 7;
sz = [height, width, channels, frames];
fpr... |
github | eglerean/hfASDmodules-master | fixOriginator.m | .m | hfASDmodules-master/compare_modules/fixOriginator.m | 943 | utf_8 | b96478b0f294732990d7a845d1245083 | % make sure we are using the NIFTI toolbox
%addpath('/proj/braindata2/neurocinematics/toolboxes/NIFTI/')
%refimg='/proj/braindata2/neurocinematics/HarvardOxford/MNI152_T1_2mm_brain.nii';
function nii=fixOriginator(targetimg)
refimg='/Users/enrico/Documents/MATLAB/piazzolla/HarvardOxford/MNI152_T1_2mm_brain.nii';... |
github | eglerean/hfASDmodules-master | bramila_ttest2_np.m | .m | hfASDmodules-master/ABIDE/bramila_ttest2_np.m | 4,125 | utf_8 | c7ea8a14f0f58d19337256c2c9ff240c | function stats = bramila_ttest2_np(data,design,niter)
% BRAMILA_TTEST2_NP - A "non parametric" two-sample T-test that, instead of
% relying on the t-distribtion, uses permutations of group labels to
% estimate the null distribution. The null distribution is computed
% independently for each data point (= row), i.e. we ... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | compAnalyticSignal.m | .m | ECoG_PPC_RecogMemory-master/PreProcessing/compAnalyticSignal.m | 429 | utf_8 | 2316b0668e4a62414590ada8dc5d3fe9 |
function [amp ph] = compAnalyticSignal(data, lowpass, hipass, SR)
% bandpass filter and calculate the analytic signal
% data is a signal vector
% amp is the amplitude of the analytic signal
% ph is the phase of the analytic signal
% dependencies channelFilt.m
data = channelFilt(data,SR,lowpass,hipass);
% calculate t... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | CalculateBadTrials.m | .m | ECoG_PPC_RecogMemory-master/PreProcessing/CalculateBadTrials.m | 941 | utf_8 | 8d89b146d465b97f164f546f65f63bda |
function [badtrials trial_var goodtrials] = CalculateBadTrials(X, thr)
% Function takes input data matrix X (#chans, # trials, # samples)
% It collapses across channels and calculates the variability within a
% trial. If the within trial variance is greater than thr * (across channels ...
% variance). Then reject th... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | modIndex.m | .m | ECoG_PPC_RecogMemory-master/Analysis/modIndex.m | 523 | utf_8 | 79574d43b2fc2dd3291fe3d16595b6b1 |
function [out,phaseBins] = modIndex(phase, amp, phaseBins)
% function calculates modulation index as described in
% Tort et al. J. Neurophysiology 2010
% takes in an amplitude signal, a phase signal, and the edges for the phase
% bins
% returns the mi as a function of bin
% assumes both and phase inputs are vectors.
%... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | getAvgSpectrogram.m | .m | ECoG_PPC_RecogMemory-master/Analysis/getAvgSpectrogram.m | 5,641 | utf_8 | 00b19ad17e78b1f8bed280e01e084940 | function data = getAvgSpectrogram(data)
% function that epochs the continuous spectrograms
% and aggregates information behavioral information
% plus simple univariate statistics
% add behavioral data
behavdatapath = ['~/Documents/ECOG/Results/BehavData/Subj' data.subjnum];
load([behavdatapath 'behav_perf.mat']);
data... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | groupLPCData.m | .m | ECoG_PPC_RecogMemory-master/Analysis/groupLPCData.m | 8,173 | utf_8 | 5d55ca7fd44968945ed0e1b288ee926f | function data = groupLPCData(opts)
% groups LPC channel data by subject.
% takes outputs from calcERP or calcERSP
%
% dependencies:
% getBinSamps
% signtest2
% ranksum2
% data parameters
subjects = opts.subjects;
reference = opts.reference;
nRefChans = opts.nRefChans;
lockType = opts.lockTy... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | findSubClusters.m | .m | ECoG_PPC_RecogMemory-master/Analysis/findSubClusters.m | 1,822 | utf_8 | ca907a2bf61db1c22481ca4dbe20f6ce |
function [out f] = findSubClusters(data,out, opts)
% for now this is hardocded to work for k=2, and finding 3 subclusters,
% separating by cluster width and using that width to measure distance from
% the decision boundary,
% sig1 = std(out.nDC(out.index==1,1));
% sig2 = std(out.nDC(out.index==2,2));
% out.SubClthr ... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | printStats.m | .m | ECoG_PPC_RecogMemory-master/Analysis/printStats.m | 2,940 | utf_8 | 172cb8d2dd912b21d8e857a3d5336601 | function printStats(data,opts,type,center)
% main statistics from time courses
ROIs = {'IPS','SPL','AG'};
type = 'BinZStat';
center = 0;
% time bins of interest
BOT = find((data.Bins(:,1) >= opts.time(1)) & (data.Bins(:,2) <= opts.time(2)));
alpha = 0.05;
% number of tests
mMain =... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | matchChannelPatterns.m | .m | ECoG_PPC_RecogMemory-master/Analysis/matchChannelPatterns.m | 8,274 | utf_8 | e6d32d4958dfa78ce7b79b1e4dd20ede |
function out = matchChannelPatterns(data,S,opts)
% this function takes pairs of channels in IPS and SPL that had significant
% decoding accuracy and tries to match patterns obtaining a lag coefficient
% between each pair
% it was designed to work with IPS and SPL electrodes and high gamma power,
% it hasn't been gene... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | groupLPC_SpectrogramData.m | .m | ECoG_PPC_RecogMemory-master/Analysis/groupLPC_SpectrogramData.m | 9,782 | utf_8 | 1347b456b6082bddab2071e4b0dbce38 | function data = groupLPCData2(opts)
% groups LPC channel data by subject.
% takes outputs from spectrogramWrapper.m
%
% dependencies:
% getBinSamps
% signtest2
% ranksum2
% data parameters
subjects = opts.subjects;
lockType = opts.lockType;
type = opts.type;
% trial computation parame... |
github | WagnerLab/ECoG_PPC_RecogMemory-master | itc.m | .m | ECoG_PPC_RecogMemory-master/Analysis/itc.m | 281 | utf_8 | 92d527eda4d01f08a2af299d1244a890 |
function [coh ph] = itc(X)
% out = itc(X)
% itc calculates the intertrial coherence.
% X = phase matrix (in radians); dim1 = ntrials, dim2 = timepoints
% out = vector of length numel(dim2), of ITC values.
vect = mean(exp(1i*X));
coh = abs(vect);
ph = angle(vect);
|
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