建立水下主动成像退化模型， 并通过retinex和白平衡算法增强 matlab代码如何编写

以下是建立水下主动成像退化模型，并通过retinex和白平衡算法增强的MATLAB代码示例：

% 读取原始图像
I = imread('underwater.jpg');

% 设置参数
alpha = 1.2; % 水下散射因子
beta = 0.1; % 水下透射因子
gamma = 1.5; % 环境光照强度
epsilon = 0.0001; % 避免除0错误

% 计算水下成像退化模型
[M, N, ~] = size(I);
H = zeros(M, N);
for i = 1:M
    for j = 1:N
        H(i, j) = exp(-alpha * norm([i, j] - [M/2, N/2])^2) * exp(-beta * (M - i));
    end
end

% 对图像进行退化
J = zeros(M, N, 3);
for k = 1:3
    F = fft2(double(I(:, :, k)));
    J(:, :, k) = real(ifft2(H.*F)) + gamma;
end

% 进行retinex增强
J_log = log(J + epsilon);
J_retinex = exp(mean(J_log, 3)) .* (J(:,:,1)./J(:,:,2)) .* (J(:,:,1)./J(:,:,3));
J_retinex = uint8(J_retinex ./ max(J_retinex(:)) * 255);

% 进行白平衡增强
J_wb = zeros(M, N, 3);
for k = 1:3
    J_wb(:, :, k) = J_retinex(:, :, k) ./ max(max(J_retinex(:, :, k)));
end

% 显示结果
figure;
subplot(2, 2, 1); imshow(I); title('原始图像');
subplot(2, 2, 2); imshow(J); title('水下成像退化');
subplot(2, 2, 3); imshow(J_retinex); title('retinex增强');
subplot(2, 2, 4); imshow(J_wb); title('白平衡增强');