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基于暗通道的去雾

  • 资源大小:7.14 MB
  • 上传时间:2021-06-30
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  • 标      签: 图像分割 matlab 基于

资 源 简 介

应用背景 IMAGES of outdoor scenes are usually degraded by the turbid medium (e.g., particles and water droplets) in the atmosphere. Haze, fog, and smoke are such phenomena due to atmospheric absorption and scattering. The irradiance received by the camera from the scene point is attenuated along the line of sight. 关键技术 The dark channel prior is a kind of statistics of outdoor haze-free images. It is based on a key observation—most local patches in outdoor haze-free images contain some pixels whose intensity is very low in at least one color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high-quality haze-free image. Results on a variety of hazy images demonstrate the power of the proposed prior. Moreover, a high-quality depth map can also be obtained as a byproduct of haze removal.

文 件 列 表

hazeremove
1.png
287.png
37.bmp
7-1.PNG
81.PNG
9new.PNG
Explain.txt
FindAtmosphereLight.m
FindRegionMin.m
jiedao.jpg
LaplacianMatrix.m
NewDarkChannel.m
wu1.JPG
Haze.pdf

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