From e097a4edcced2bbc8c78d1302467bdf625deff1d Mon Sep 17 00:00:00 2001 From: Daniil Kazantsev Date: Tue, 4 Jul 2017 09:35:02 +0100 Subject: some clearing --- supp/add_wedges.m | 35 ---------- supp/filtersinc.m | 28 -------- supp/ssim_index.m | 181 --------------------------------------------------- supp/subplot_tight.m | 1 - 4 files changed, 245 deletions(-) delete mode 100644 supp/add_wedges.m delete mode 100644 supp/filtersinc.m delete mode 100644 supp/ssim_index.m delete mode 100644 supp/subplot_tight.m (limited to 'supp') diff --git a/supp/add_wedges.m b/supp/add_wedges.m deleted file mode 100644 index 5bc215c..0000000 --- a/supp/add_wedges.m +++ /dev/null @@ -1,35 +0,0 @@ -% create a wedge mask to simulate the missing wedge - -[rows, columns] = size(sino_zing_rings); -grayImage = ones(rows, columns, 'uint8'); -xCoords = [0 360 0]; -yCoords = [35 7 7]; -mask = poly2mask(xCoords, yCoords, rows, columns); -grayImage(mask) = 0; - -xCoords = [727 360 727]; -yCoords = [35 7 7]; -mask = poly2mask(xCoords, yCoords, rows, columns); -grayImage(mask) = 0; - -xCoords = [0 360 0]; -yCoords = [145 173 173]; -mask = poly2mask(xCoords, yCoords, rows, columns); -grayImage(mask) = 0; - -xCoords = [727 360 727]; -yCoords = [145 173 173]; -mask = poly2mask(xCoords, yCoords, rows, columns); -grayImage(mask) = 0; - -grayImage(1:7,:) = 0; -grayImage(173:end,:) = 0; - -%figure; imshow(grayImage, [0 1]); -MW_sino_artifacts = sino_zing_rings.*double(grayImage); -% !!! -% note that we do not re-calculate Dweights for MW_sino_artifacts -% if one does: Dweights = Dweights.*double(grayImage); -% then the MW artifacts will be reduced substantially, -% through weighting. However we would like to explore -% the effect of the penalty instead. \ No newline at end of file diff --git a/supp/filtersinc.m b/supp/filtersinc.m deleted file mode 100644 index 6c29c98..0000000 --- a/supp/filtersinc.m +++ /dev/null @@ -1,28 +0,0 @@ -function g = filtersinc(PR) - - -% filtersinc.m -% -% Written by Waqas Akram -% -% "a": This parameter varies the filter magnitude response. -% When "a" is very small (a<<1), the response approximates |w| -% As "a" is increased, the filter response starts to -% roll off at high frequencies. -a = 1; - -[Length, Count] = size(PR); -w = [-pi:(2*pi)/Length:pi-(2*pi)/Length]; - -rn1 = abs(2/a*sin(a.*w./2)); -rn2 = sin(a.*w./2); -rd = (a*w)./2; -r = rn1*(rn2/rd)^2; - -f = fftshift(r); -for i = 1:Count - IMG = fft(PR(:,i)); - fimg = IMG.*f'; - g(:,i) = ifft(fimg); -end -g = real(g); \ No newline at end of file diff --git a/supp/ssim_index.m b/supp/ssim_index.m deleted file mode 100644 index 4fa7a79..0000000 --- a/supp/ssim_index.m +++ /dev/null @@ -1,181 +0,0 @@ -function [mssim, ssim_map] = ssim_index(img1, img2, K, window, L) - -%======================================================================== -%SSIM Index, Version 1.0 -%Copyright(c) 2003 Zhou Wang -%All Rights Reserved. -% -%This is an implementation of the algorithm for calculating the -%Structural SIMilarity (SSIM) index between two images. Please refer -%to the following paper: -% -%Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image -%quality assessment: From error visibility to structural similarity" -%IEEE Transactios on Image Processing, vol. 13, no. 4, pp.600-612, -%Apr. 2004. -% -%Kindly report any suggestions or corrections to zhouwang@ieee.org -% -%---------------------------------------------------------------------- -% -%Input : (1) img1: the first image being compared -% (2) img2: the second image being compared -% (3) K: constants in the SSIM index formula (see the above -% reference). defualt value: K = [0.01 0.03] -% (4) window: local window for statistics (see the above -% reference). default widnow is Gaussian given by -% window = fspecial('gaussian', 11, 1.5); -% (5) L: dynamic range of the images. default: L = 255 -% -%Output: (1) mssim: the mean SSIM index value between 2 images. -% If one of the images being compared is regarded as -% perfect quality, then mssim can be considered as the -% quality measure of the other image. -% If img1 = img2, then mssim = 1. -% (2) ssim_map: the SSIM index map of the test image. The map -% has a smaller size than the input images. The actual size: -% size(img1) - size(window) + 1. -% -%Default Usage: -% Given 2 test images img1 and img2, whose dynamic range is 0-255 -% -% [mssim ssim_map] = ssim_index(img1, img2); -% -%Advanced Usage: -% User defined parameters. For example -% -% K = [0.05 0.05]; -% window = ones(8); -% L = 100; -% [mssim ssim_map] = ssim_index(img1, img2, K, window, L); -% -%See the results: -% -% mssim %Gives the mssim value -% imshow(max(0, ssim_map).^4) %Shows the SSIM index map -% -%======================================================================== - - -if (nargin < 2 | nargin > 5) - ssim_index = -Inf; - ssim_map = -Inf; - return; -end - -if (size(img1) ~= size(img2)) - ssim_index = -Inf; - ssim_map = -Inf; - return; -end - -[M N] = size(img1); - -if (nargin == 2) - if ((M < 11) | (N < 11)) % ͼССû塣 - ssim_index = -Inf; - ssim_map = -Inf; - return - end - window = fspecial('gaussian', 11, 1.5); % һ׼ƫ1.511*11ĸ˹ͨ˲ - K(1) = 0.01; % default settings - K(2) = 0.03; % - L = 255; % -end - -if (nargin == 3) - if ((M < 11) | (N < 11)) - ssim_index = -Inf; - ssim_map = -Inf; - return - end - window = fspecial('gaussian', 11, 1.5); - L = 255; - if (length(K) == 2) - if (K(1) < 0 | K(2) < 0) - ssim_index = -Inf; - ssim_map = -Inf; - return; - end - else - ssim_index = -Inf; - ssim_map = -Inf; - return; - end -end - -if (nargin == 4) - [H W] = size(window); - if ((H*W) < 4 | (H > M) | (W > N)) - ssim_index = -Inf; - ssim_map = -Inf; - return - end - L = 255; - if (length(K) == 2) - if (K(1) < 0 | K(2) < 0) - ssim_index = -Inf; - ssim_map = -Inf; - return; - end - else - ssim_index = -Inf; - ssim_map = -Inf; - return; - end -end - -if (nargin == 5) - [H W] = size(window); - if ((H*W) < 4 | (H > M) | (W > N)) - ssim_index = -Inf; - ssim_map = -Inf; - return - end - if (length(K) == 2) - if (K(1) < 0 | K(2) < 0) - ssim_index = -Inf; - ssim_map = -Inf; - return; - end - else - ssim_index = -Inf; - ssim_map = -Inf; - return; - end -end -%% -C1 = (K(1)*L)^2; % C1Lxyá -C2 = (K(2)*L)^2; % C2ԱȶCxyá -window = window/sum(sum(window)); %˲һ -img1 = double(img1); -img2 = double(img2); - -mu1 = filter2(window, img1, 'valid'); % ͼ˲ӼȨ -mu2 = filter2(window, img2, 'valid'); % ͼ˲ӼȨ - -mu1_sq = mu1.*mu1; % Uxƽֵ -mu2_sq = mu2.*mu2; % Uyƽֵ -mu1_mu2 = mu1.*mu2; % Ux*Uyֵ - -sigma1_sq = filter2(window, img1.*img1, 'valid') - mu1_sq; % sigmax ׼ -sigma2_sq = filter2(window, img2.*img2, 'valid') - mu2_sq; % sigmay ׼ -sigma12 = filter2(window, img1.*img2, 'valid') - mu1_mu2; % sigmaxy׼ - -if (C1 > 0 & C2 > 0) - ssim_map = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))./((mu1_sq + mu2_sq + C1).*(sigma1_sq + sigma2_sq + C2)); -else - numerator1 = 2*mu1_mu2 + C1; - numerator2 = 2*sigma12 + C2; - denominator1 = mu1_sq + mu2_sq + C1; - denominator2 = sigma1_sq + sigma2_sq + C2; - ssim_map = ones(size(mu1)); - index = (denominator1.*denominator2 > 0); - ssim_map(index) = (numerator1(index).*numerator2(index))./(denominator1(index).*denominator2(index)); - index = (denominator1 ~= 0) & (denominator2 == 0); - ssim_map(index) = numerator1(index)./denominator1(index); -end - -mssim = mean2(ssim_map); - -return \ No newline at end of file diff --git a/supp/subplot_tight.m b/supp/subplot_tight.m deleted file mode 100644 index 0b0cbd5..0000000 --- a/supp/subplot_tight.m +++ /dev/null @@ -1 +0,0 @@ -function vargout=subplot_tight(m, n, p, margins, varargin) %% subplot_tight % A subplot function substitude with margins user tunabble parameter. % %% Syntax % h=subplot_tight(m, n, p); % h=subplot_tight(m, n, p, margins); % h=subplot_tight(m, n, p, margins, subplotArgs...); % %% Description % Our goal is to grant the user the ability to define the margins between neighbouring % subplots. Unfotrtunately Matlab subplot function lacks this functionality, and the % margins between subplots can reach 40% of figure area, which is pretty lavish. While at % the begining the function was implememnted as wrapper function for Matlab function % subplot, it was modified due to axes del;etion resulting from what Matlab subplot % detected as overlapping. Therefore, the current implmenetation makes no use of Matlab % subplot function, using axes instead. This can be problematic, as axis and subplot % parameters are quie different. Set isWrapper to "True" to return to wrapper mode, which % fully supports subplot format. % %% Input arguments (defaults exist): % margins- two elements vector [vertical,horizontal] defining the margins between % neighbouring axes. Default value is 0.04 % %% Output arguments % same as subplot- none, or axes handle according to function call. % %% Issues & Comments % - Note that if additional elements are used in order to be passed to subplot, margins % parameter must be defined. For default margins value use empty element- []. % - % %% Example % close all; % img=imread('peppers.png'); % figSubplotH=figure('Name', 'subplot'); % figSubplotTightH=figure('Name', 'subplot_tight'); % nElems=17; % subplotRows=ceil(sqrt(nElems)-1); % subplotRows=max(1, subplotRows); % subplotCols=ceil(nElems/subplotRows); % for iElem=1:nElems % figure(figSubplotH); % subplot(subplotRows, subplotCols, iElem); % imshow(img); % figure(figSubplotTightH); % subplot_tight(subplotRows, subplotCols, iElem, [0.0001]); % imshow(img); % end % %% See also % - subplot % %% Revision history % First version: Nikolay S. 2011-03-29. % Last update: Nikolay S. 2012-05-24. % % *List of Changes:* % 2012-05-24 % Non wrapping mode (based on axes command) added, to deal with an issue of disappearing % subplots occuring with massive axes. %% Default params isWrapper=false; if (nargin<4) || isempty(margins) margins=[0.04,0.04]; % default margins value- 4% of figure end if length(margins)==1 margins(2)=margins; end %note n and m are switched as Matlab indexing is column-wise, while subplot indexing is row-wise :( [subplot_col,subplot_row]=ind2sub([n,m],p); height=(1-(m+1)*margins(1))/m; % single subplot height width=(1-(n+1)*margins(2))/n; % single subplot width % note subplot suppors vector p inputs- so a merged subplot of higher dimentions will be created subplot_cols=1+max(subplot_col)-min(subplot_col); % number of column elements in merged subplot subplot_rows=1+max(subplot_row)-min(subplot_row); % number of row elements in merged subplot merged_height=subplot_rows*( height+margins(1) )- margins(1); % merged subplot height merged_width= subplot_cols*( width +margins(2) )- margins(2); % merged subplot width merged_bottom=(m-max(subplot_row))*(height+margins(1)) +margins(1); % merged subplot bottom position merged_left=min(subplot_col)*(width+margins(2))-width; % merged subplot left position pos=[merged_left, merged_bottom, merged_width, merged_height]; if isWrapper h=subplot(m, n, p, varargin{:}, 'Units', 'Normalized', 'Position', pos); else h=axes('Position', pos, varargin{:}); end if nargout==1 vargout=h; end \ No newline at end of file -- cgit v1.2.3