Below is an example of the MATLAB code that assumes that the images are of the same size.
What is the MATLAB code?
function transferred_image = color_transfer(source_image, target_image, method)
% Convert images to Lab color space
source_lab = rgb2lab(source_image);
target_lab = rgb2lab(target_image);
% Specify window size for local methods
window_size = 5;
% Apply color transfer based on the chosen method
switch method
case 'surrounding'
transferred_image = local_color_transfer(source_lab, target_lab, window_size);
case 'same_row'
% Implement color transfer based on pixels in the same row
% ...
case 'same_column'
% Implement color transfer based on pixels in the same column
% ...
case 'same_row_column'
% Implement color transfer based on pixels in the same row and column
% ...
otherwise
error('Invalid method specified.');
end
end
function transferred_image = local_color_transfer(source_lab, target_lab, window_size)
% Implement color transfer based on pixels surrounding (window size 5x5)
% ...
% Example: Transfer color based on mean and std in the Lab color space
for i = 1:size(source_lab, 1)
for j = 1:size(source_lab, 2)
% Extract window around the current pixel
window_source = extract_window(source_lab, i, j, window_size);
% Compute mean and std of the window in the Lab color space
mean_source = mean(window_source, 'all');
std_source = std(window_source, 0, 'all');
% Adjust color of the current pixel in the target image
transferred_image(i, j, :) = (target_lab(i, j, :) - mean(target_lab(i, j, :))) * (std_source / std(target_lab(i, j, :))) + mean_source;
end
end
% Convert the transferred image back to RGB
transferred_image = lab2rgb(transferred_image);
end
function window = extract_window(image, i, j, window_size)
% Extract a window of specified size around the pixel (i, j) from the image
half_window = (window_size - 1) / 2;
window = image(max(1, i - half_window):min(end, i + half_window), max(1, j - half_window):min(end, j + half_window), :);
end