Image Enhancement Based on Prior Knowledge and Atmospheric Scattering Model

JU Ming-ye; ZHANG Deng-yin

doi:10.3969/j.issn.0372-2112.2017.05.027

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Image Enhancement Based on Prior Knowledge and Atmospheric Scattering Model

更新时间：2025-07-16

- Image Enhancement Based on Prior Knowledge and Atmospheric Scattering Model
- Acta Electronica Sinica Vol. 45, Issue 5, Pages: 1218-1225(2017)
- 作者机构：
  
  南京邮电大学物联网学院,江苏,南京,210003
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61571241);Prospective Project of Industry and University of Jiangsu Province (No.BY2014014);Major Project of Natural Science Research Program of Colleges and Universities of Jiangsu Province (No.15KJA510002)
- DOI：10.3969/j.issn.0372-2112.2017.05.027
  CLC： TP391
- Published：2017
- 稿件说明：
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JU Ming-ye, ZHANG Deng-yin. Image Enhancement Based on Prior Knowledge and Atmospheric Scattering Model[J]. Acta Electronica Sinica, 2017, 45(5): 1218-1225.
DOI：

JU Ming-ye, ZHANG Deng-yin. Image Enhancement Based on Prior Knowledge and Atmospheric Scattering Model[J]. Acta Electronica Sinica, 2017, 45(5): 1218-1225. DOI： 10.3969/j.issn.0372-2112.2017.05.027.

摘要

针对现有图像增强算法大多不具备处理多种类型降质图像的能力，提出一种基于先验知识与大气散射模型的快速图像增强算法.首先，通过大量实验统计，提出一种新的图像先验明亮通道先验，即高质量清晰图像中每个像素邻域都极有可能存在白点；随后，对散射模型所存在的缺陷加以改进，并结合明亮通道先验与黑色通道先验，推导出场景反射率的恢复公式；最后，针对黑色通道先验失效情况，提出一种基于可靠性预测的容错机制，以提高其适用范围.实验结果表明：本文算法不但可以有效的突出纹理细节，还具有一定的色调恢复功能，能够处理多种不同类型的降质图像.

Abstract

Almost the existing image enhancement algorithms are not capable to deal with multi-type degenerated images.In this paper

a fast image enhancement algorithm is proposed based on prior knowledge and atmospheric scattering model.Firstly

an innovative image prior

which were called bright channel prior

were proposed through experimental statistics.It shows that the whites spots are more likely to exist in the neighborhood of each pixels in high-quality clear image.Then

the scattering model were improved and it derived the calculation formula of reflectance image by bright channel prior

dark channel prior and improved scattering model.Finally

we put forward a fault tolerance mechanism

which is based on reliability prediction

to handle the situation that the dark channel prior does not work.The experiment results shows that this algorithm can not only highlight the texture details well but also restore the tone.It is able to deal with multi-type degenerated images.

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