underwaterCorrection

说明：  基于暗通道先验的颜色校正算法进行仿真模拟，得到了较为自然准确的恢复图像。本文仿真的算法主要分为三个子模块：暗通道先验、折射率计算、颜色校正。暗通道先验提供了颜色校正需要的参数，颜色校正后的图片基本实现了颜色失真的校正。最后对处理得到的图片进行质量评价。实验结果表明，本文的算法能够基本实现水下图像的恢复，能够很好地校正失真的图像，改善颜色失真的情况。(The color correction algorithm based on the dark channel prior is simulated, and the more natural and accurate restoration image is obtained. In this paper, the simulation algorithm is divided into three sub modules: dark channel prior, refractive index calculation, color correction. The dark channel prior provides the parameters needed for color correction, and the color corrected image basically realizes the correction of color distortion. Finally, the quality of the processed image is evaluated. The experimental results show that the algorithm can basically achieve the restoration of underwater image, can correct the distorted image and improve the color distortion.)

underwaterCorrection\colorCorrect.m, 508 , 2020-04-21
underwaterCorrection\getTransmissivity.m, 859 , 2020-04-21
underwaterCorrection\Idark.m, 817 , 2020-04-21
underwaterCorrection\InputImages\test1.jpg, 27697 , 2018-02-04
underwaterCorrection\InputImages\test2.jpg, 115832 , 2018-02-04
underwaterCorrection\InputImages\test3.jpg, 46798 , 2018-02-04
underwaterCorrection\InputImages\test4.jpg, 81097 , 2018-02-04
underwaterCorrection\mainTest.m, 935 , 2020-04-21
underwaterCorrection\OutputImages\ccI.jpg, 125728 , 2020-04-21
underwaterCorrection\README.md, 1644 , 2020-04-21
underwaterCorrection\README.pdf, 169769 , 2020-04-21
underwaterCorrection\test.m, 3070 , 2020-04-21
underwaterCorrection\valueImages.m, 713 , 2020-04-21
underwaterCorrection\基于暗通道先验和自适应颜色校正的水下图像处理.pdf, 1891010 , 2020-04-21
underwaterCorrection\流程图1.png, 84400 , 2020-04-21
underwaterCorrection\流程图2.png, 6550 , 2020-04-21
underwaterCorrection\InputImages, 0 , 2020-04-20
underwaterCorrection\OutputImages, 0 , 2020-04-21
underwaterCorrection, 0 , 2020-04-21