chromatic aberration correct 实现代码

色差是指由于光的波长和光学系统的原因，当光线经过光学系统时，其空间频率分布发生变化，从而导致不同波长的光线经过光学系统后，其到达焦平面的位置不同，从而使得图像出现不同颜色的像素点分布不均匀，即出现色差现象。

相关问题

Chromatic Aberration matlab

Chromatic aberration in MATLAB refers to the phenomenon where different colors of light are focused at slightly different points when passing through a lens or other optical system, resulting in color separation or blurring. This is due to the inability of many lenses to focus all wavelengths equally.

In MATLAB, you can simulate chromatic aberration and analyze it using various imaging processing techniques. The Image Processing Toolbox provides functions like `imread`, `imresize`, `imfilter`, and `deconvlens` that can be used to create images with simulated lens distortions, including chromatic aberration. To do this, you may need to:

1. Generate a color image (RGB) with varying wavelengths.
2. Apply a lens model, such as a Zernike polynomial or a custom PSF (Point Spread Function), to each color channel separately.
3. Combine the blurred channels back into an RGB image to observe the effect.
4. Use visualization functions like `imshowpair` or `montage` to display the original and aberrated images side by side for comparison.

Here's a simple example code snippet to illustrate this process:

% Load or create your image
img = imread('your_image.jpg');

% Define lens parameters and chromatic shift values
 focal_length = 50; % Focal length of the lens in pixels
 chrom_shift = [5; 7]; % Separation distances for red, green, and blue

% Create separate PSFs for each color channel
psf_red = deconvlens(img(:,:,1), focal_length + chrom_shift(1));
psf_green = deconvlens(img(:,:,2), focal_length);
psf_blue = deconvlens(img(:,:,3), focal_length - chrom_shift(2));

% Blur each channel
aberrated_img = cat(3, imfilter(img(:,:,1), psf_red), ...
                      imfilter(img(:,:,2), psf_green), ...
                      imfilter(img(:,:,3), psf_blue));

% Display original and aberrated images
figure;
subplot(1, 2, 1); imshow(img);
title('Original');
subplot(1, 2, 2); imshow(aberrated_img);
title('Aberrated (Chromatic Aberration)');