Demo_TWSC_RGB2YUV_DND2017.m

%-------------------------------------------------------------------------------------------------------------
% 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, csjunxu@comp.polyu.edu.hk / nankaimathxujun@gmail.com
%          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;
Original_image_dir = '../dnd_2017/images_srgb/';
fpath = fullfile(Original_image_dir, '*.mat');
im_dir  = dir(fpath);
im_num = length(im_dir);
load '../dnd_2017/info.mat';

method = 'TWSCrgb2yuv';
dataset = 'dnd_2017';
% write image directory
write_MAT_dir = ['/home/csjunxu/Paper/DeNoise/Results_' dataset '/'];
write_sRGB_dir = [write_MAT_dir method];
if ~isdir(write_sRGB_dir)
    mkdir(write_sRGB_dir)
end
% 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 = 8;
Par.Innerloop = 2;
Par.nlspini = 70;
Par.display = 0;
Par.delta = 0;
Par.nlspgap = 0; %10
Par.lambda1 = 0;
% Par.lambda2 = 3;
for lambda2 = [3]
    Par.lambda2 =lambda2;
    for i = 1:im_num
        Par.image = i;
        load(fullfile(Original_image_dir, im_dir(i).name));
        S = regexp(im_dir(i).name, '\.', 'split');
        [h,w,ch] = size(InoisySRGB);
        % iterate over bounding boxes
        Idenoised_crop_bbs = cell(1,20);
        for j = 1:size(info(1).boundingboxes,1)
            Par.nlsp = Par.nlspini;  % number of non-local patches
            IMinname = [S{1} '_' num2str(j)];
            bb = info(i).boundingboxes(j,:);
            Par.nim = InoisySRGB(bb(1):bb(3), bb(2):bb(4),:);
            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_Sigma_RW(Par);
            IMout = ycbcr2rgb(IMout);
            fprintf('%s: \n', IMinname);
            %% output
            imwrite(IMout, [write_sRGB_dir '/' method '_' dataset '_' num2str(lambda2) '_' IMinname '.png']);
            Idenoised_crop_bbs{j} = single(IMout);
        end
        for j = 1:size(info(1).boundingboxes,1)
            Idenoised_crop = Idenoised_crop_bbs{j};
            save(fullfile(write_MAT_dir, sprintf('%04d_%02d.mat', i, j)), 'Idenoised_crop');
        end
        fprintf('Image %d/%d done\n', i,50);
    end
    % generate submission files
    bundle_submission_srgb( write_MAT_dir, lambda2 );
end