一种增强视网膜的光照补偿新方法

Libo Zhang, Lin Yang, Tiejian Luo, Yihan Sun
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引用次数: 4

摘要

光照补偿是提高图像处理性能的一种典型方法。Retinex算法可以很好地补偿光照工作,但不能很好地处理图像的颜色常数。本文提出了一种将图像从RGB色彩空间转换为HSI色彩空间,通过Retinex算法增强I分量,根据相关系数自适应调整S分量的光照补偿方法。实验结果表明,该方法在HIS色彩空间转换为RGB色彩空间时,既能保持图像的色彩,又能在亮度、对比度和信息量增强的情况下获得较好的图像质量。它具有保持颜色不变的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Illumination Compensation Method with Enhanced Retinex
Illumination compensation is a typical way for increasing the performance of image processing. Retinex algorithm compensates illumination work properly, however, it cannot deal with color constancy of images appropriately. This paper proposes a novel illumination compensation method by converting the image from RGB color space to HSI color space, and with I component enhanced by Retinex algorithm and S component adjusted adaptively in accordance with correlation coefficients. Experimental results show that our method can not only maintain the color of images when the color space conversion from HIS to RGB, but also get better image quality with enhanced brightness, contrast and information. It has the trait of upholding the color constancy.
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