针对视网膜图像增强缺陷的改进算法

Hongqing Hu, Guoqiang Ni
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引用次数: 7

摘要

传统的基于Retinex理论的图像增强算法假设入射光是平滑变化的,存在一定的局限性。此外,该算法在对入射光的三个分量进行处理时,引入了色彩失真,在明暗强烈对比时出现了光晕现象。采用对数处理动态压缩,降低图像的对比度。考虑到这些限制,本文总结了几种当前改进的算法。文中提到的所有算法在色彩一致性、对比度和计算成本方面都有很好的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The improved algorithm for the defect of the Retinex image enhancement
Traditional image enhancement algorithm based on the Retinex theory has some limitations due to its hypothesis that the incident light is changing smoothly. In addition, the algorithm introduces color distortion and appears a halo phenomenon during the strong contrast between the light and dark when it is processing the three components of the incident light. Logarithm is used to deal with dynamic compression to reduce the contrast of the image. Considered these limitations, this article summarizes several current improved algorithms. All the algorithms mentioned in the article have a very good performance in the color constancy, contrast, and the computational cost.
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