可见光和红外光图像经过M通道过采样滤波器组分解为低频子带和高频子带 matlab
时间: 2024-05-09 10:21:20 浏览: 10
代码如下:
```matlab
% 读取可见光和红外光图像
rgb = imread('color_image.jpg');
ir = imread('ir_image.jpg');
% 将图像转换为灰度图像
rgb_gray = rgb2gray(rgb);
ir_gray = rgb2gray(ir);
% 定义M通道过采样滤波器组
M = 6; % M通道数
L = 5; % 滤波器长度
filters = zeros(M, L);
for m = 1:M
% 使用高斯函数作为滤波器的基函数
filters(m,:) = gaussmf(1:L, [1 L/2*(M-m+1)/M]);
end
% 对可见光和红外光图像分别进行M通道过采样滤波器组分解
rgb_subbands = zeros(size(rgb_gray,1), size(rgb_gray,2), M);
ir_subbands = zeros(size(ir_gray,1), size(ir_gray,2), M);
for m = 1:M
% 对可见光图像进行滤波器组分解
rgb_subbands(:,:,m) = conv2(rgb_gray, filters(m,:), 'same');
% 对红外光图像进行滤波器组分解
ir_subbands(:,:,m) = conv2(ir_gray, filters(m,:), 'same');
end
% 显示可见光和红外光图像的低频子带和高频子带
figure;
subplot(2,3,1); imshow(rgb_gray); title('RGB gray image');
subplot(2,3,2); imshow(rgb_subbands(:,:,1)); title('RGB low-frequency subband');
for m = 2:M
subplot(2,3,m+1); imshow(rgb_subbands(:,:,m)); title(['RGB high-frequency subband ', num2str(m-1)]);
end
subplot(2,3,4); imshow(ir_gray); title('IR gray image');
subplot(2,3,5); imshow(ir_subbands(:,:,1)); title('IR low-frequency subband');
for m = 2:M
subplot(2,3,m+5); imshow(ir_subbands(:,:,m)); title(['IR high-frequency subband ', num2str(m-1)]);
end
```