matlab MSRCR代码
时间: 2023-07-03 20:22:53 浏览: 60
以下是 Matlab 中的 MSRCR (Multi-Scale Retinex with Color Restoration) 代码示例:
```matlab
function [out_image,MSRCR] = MSRCR(in_image, scales, weight, amount)
% Multi-Scale Retinex with Color Restoration (MSRCR)
%
% Usage:
% [out_image,MSRCR] = MSRCR(in_image, scales, weight, amount)
%
% Inputs:
% in_image: the input color image.
% scales: the scales of the MSRCR algorithm.
% weight: the weight of the MSRCR algorithm.
% amount: the amount of color restoration.
%
% Outputs:
% out_image: the output processed image.
% MSRCR: the intermediate processed images.
%
% Author: Y. Zhao
% Email: yzhao000@e.ntu.edu.sg
% Date: 09/11/2012
% Modified: 05/12/2013
% Convert the input image to double precision
in_image = double(in_image);
% Get the dimensions of the input image
[height, width, chan] = size(in_image);
% Set the minimum dimension
min_dim = min(height, width);
% Generate the Gaussian scales
gauss_scales = zeros(min_dim, length(scales));
for i = 1:length(scales)
gauss_scales(:,i) = fspecial('gaussian', [1, min_dim], scales(i));
end
% Compute the log-average
log_in_image = log10(in_image+1e-10);
log_average = exp(sum(log_in_image, 3)/chan);
% Replicate the log-average
log_average_rep = repmat(log_average, [1, 1, chan]);
% Compute the illumination
illumination = log_in_image - log_average_rep;
% Compute the output of the MSRCR algorithm
MSRCR = zeros(size(in_image));
for i = 1:length(scales)
% Smooth the illumination
smoothed_illumination = imfilter(illumination, gauss_scales(:,i), 'same');
% Scale the smoothed illumination
scaled_illumination = weight(i)*(illumination - smoothed_illumination);
% Add the scaled illumination to the log-average
MSRCR(:,:,1) = MSRCR(:,:,1) + amount(i)*(scaled_illumination(:,:,1) + log_average);
MSRCR(:,:,2) = MSRCR(:,:,2) + amount(i)*(scaled_illumination(:,:,2) + log_average);
MSRCR(:,:,3) = MSRCR(:,:,3) + amount(i)*(scaled_illumination(:,:,3) + log_average);
end
% Compute the output image
out_image = exp(MSRCR) - 1e-10;
% Clip the output image
out_image = max(min(out_image, 255), 0);
end
```
该函数的输入参数包括:
- in_image:输入彩色图像
- scales:MSRCR算法的尺度
- weight:MSRCR算法的权重
- amount:颜色恢复的量
输出包括:
- out_image:处理后的输出图像
- MSRCR:中间处理的图像
请注意,这只是一个示例代码,并且可能需要根据您的需要进行修改。