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Demo_TWSC_RGB2YUV_SIDD2018.m
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%-------------------------------------------------------------------------------------------------------------
% This is an implementation of the TWSC algorithm for real-world image denoising
% by processing the YUV channels insead of RGB channels, it would improve
% TWSC by 0.1dB on PSNR.
% Author: Jun Xu, [email protected] / [email protected]
% The Hong Kong Polytechnic University
%
% Please refer to the following paper if you find this code helps:
%
% @article{TWSC_ECCV2018,
% author = {Jun Xu and Lei Zhang and David Zhang},
% title = {A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising},
% journal = {ECCV},
% year = {2018}
% }
% Please see the file License.txt for the license governing this code.
%-------------------------------------------------------------------------------------------------------------
clear,clc;
load '/home/csjunxu/Github/data/NTIRE2019/ValidationNoisyBlocksSrgb.mat';
method = 'TWSCrgb2yuv';
dataset = 'SIDD_2018';
% write image directory
write_MAT_dir = ['/home/csjunxu/Github/data/NTIRE2019/'];
% Parameters
Par.ps = 6; % patch size
Par.step = 3; % the step of two neighbor patches
Par.win = 20; % size of window around the patch
Par.Outerloop = 4;
Par.Innerloop = 2;
Par.nlspini = 70;
Par.display = 0;
Par.delta = 0;
Par.nlspgap = 0; %10
Par.lambda1 = 0;
% Par.lambda2 = 3;
for lambda2 = [4]
results = zeros(size(ValidationNoisyBlocksSrgb));
Par.lambda2 =lambda2;
save([write_MAT_dir 'TWSC' num2str(lambda2) '.mat'], 'results');
for i = 1:size(ValidationNoisyBlocksSrgb,1)
for j = 1:size(ValidationNoisyBlocksSrgb,2)
Par.nlsp = Par.nlspini; % number of non-local patches
% iterate over bounding boxes
Par.nim = im2double(squeeze(ValidationNoisyBlocksSrgb(i,j,:,:,:)));
Par.I = Par.nim;
Par.nim = rgb2ycbcr(Par.nim);
[h,w,ch] = size(Par.nim);
% noise estimation
for c = 1:ch
Par.nSig(c) = NoiseEstimation(Par.nim(:, :, c)*255, Par.ps)/255;
end
[IMout, Par] = TWSC_RW(Par);
IMout = ycbcr2rgb(IMout);
fprintf('%s/%s: \n', num2str(i), num2str(j));
%% output
results(i,j,:,:,:) = uint8(IMout*255);
end
fprintf('Image %d/%d done\n', i,j);
end
end