matlab 水下图像增强的参考资料和方法
时间: 2023-11-04 08:23:16 浏览: 38
可以参考下列文献和方法:
1. "Underwater image denoising using a low-rank matrix completion algorithm" by Qi Wang, Wei Wu, and Wu.
2. "Color correction and restoration of underwater images using backscattering model" by Hanqing Liu, Ning Wang, and Xu Liu.
3. "A fusion-based approach for underwater image enhancement" by Youxiang Huang, Kang Xie, and Xiaoguang Liu.
4. "Improving underwater image quality using a convolutional neural network" by Hui Bian, Zijie Zhu, and Qian Guo.
5. "Underwater image enhancement using color correction and gamma correction" by Yunde Jiao, Xiaohua Shi, and Jinfeng Liu.
相关问题
matlab水下图像增强代码
根据引用\[1\]和引用\[2\]的内容,可以使用以下代码来实现Matlab水下图像增强:
```matlab
% 计算Lab颜色空间
lab1 = rgb_to_lab(input1);
lab2 = rgb_to_lab(input2);
% 提取R通道并进行归一化
R1 = double(lab1(:, :, 1)/255);
R2 = double(lab2(:, :, 1)/255);
% 使用卷积神经网络和自适应双边滤波器进行处理
filtered_image = convolutional_neural_network(input_image);
filtered_image = adaptive_bilateral_filter(filtered_image);
% 使用基于白平衡的策略消除颜色偏差
balanced_image = white_balance(filtered_image);
% 使用拉普拉斯金字塔融合获取无雾和色彩校正图像的融合结果
fusion_result = laplacian_pyramid_fusion(dehazed_image, color_corrected_image);
% 转换为混合小波和方向滤波器组(HWD)域进行去噪和边缘增强
denoised_image = wavelet_denoising(fusion_result);
enhanced_image = edge_enhancement(denoised_image);
```
请注意,这只是一个示例代码,具体的实现可能需要根据具体的需求和算法进行调整。
#### 引用[.reference_title]
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- *2* [【图像增强】基于matlab DEHAZENET和HWD的水下去散射图像增强【含Matlab源码 087期】](https://blog.csdn.net/TIQCmatlab/article/details/112424542)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]
matlab水下图像增强直方图
水下图像增强可以通过直方图均衡化来实现。直方图均衡化是一种常见的图像增强技术,通过对图像像素灰度值的分布进行调整,使得图像的灰度范围更加均匀,从而提高图像的对比度和清晰度。
在Matlab中,可以使用imhist函数来计算图像的灰度直方图,使用histeq函数来进行直方图均衡化。以下是一个简单的示例代码:
```
% 读取水下图像
img = imread('underwater.jpg');
% 计算灰度直方图
[counts, bins] = imhist(img);
% 显示原始直方图
subplot(2,2,1);
imshow(img);
title('Original Image');
subplot(2,2,2);
bar(bins, counts);
xlim([0 255]);
title('Original Histogram');
% 进行直方图均衡化
img_eq = histeq(img);
% 计算均衡化后的直方图
[counts_eq, bins_eq] = imhist(img_eq);
% 显示均衡化后的直方图
subplot(2,2,3);
imshow(img_eq);
title('Equalized Image');
subplot(2,2,4);
bar(bins_eq, counts_eq);
xlim([0 255]);
title('Equalized Histogram');
```
运行上述代码后,会显示出原始图像和直方图,以及经过直方图均衡化后的图像和直方图。可以看到,经过直方图均衡化后的图像对比度明显增强,细节更加清晰。