📄 colour_transfer_idt.m
字号:
%
% colour transfer algorithm based on N-Dimensional PDF Transfer
%
% [IR] = colour_transfer_IFT(I_original, I_target, nbiterations);
%
% (c) F. Pitie 2007
%
% see reference:
% Automated colour grading using colour distribution transfer. (2007)
% Computer Vision and Image Understanding.
%
% Attention:
% * to remove the "grainyness" on the results, you should apply the grain
% reducer proposed in the paper.
% * Also, the method could made a lot faster by first clustring colours.
%
function IR = colour_transfer_IDT(I0, I1, nbiterations)
if (ndims(I0)~=3)
error('pictures must have 3 dimensions');
end
nb_channels = size(I0,3);
%% reshape images as 3xN matrices
for i=1:nb_channels
D0(i,:) = reshape(I0(:,:,i), 1, size(I0,1)*size(I0,2));
D1(i,:) = reshape(I1(:,:,i), 1, size(I1,1)*size(I1,2));
end
%% building a sequence of (almost) random projections
R{1} = [1 0 0; 0 1 0; 0 0 1; 2/3 2/3 -1/3; 2/3 -1/3 2/3; -1/3 2/3 2/3];
for i=2:nbiterations
R{i} = R{1} * orth(randn(3,3));
end
%% pdf transfer
DR = pdf_transfer(D0, D1, R);
%% reshape the resulting 3xN matrix as an image
IR = I0;
for i=1:nb_channels
IR(:,:,i) = reshape(DR(i,:), size(IR, 1), size(IR, 2));
end
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -