计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (7): 174-176.

• 图形、图像、模式识别 • 上一篇    下一篇

模糊多尺度Retinex彩色图像增强

汪林林1，余 梅1，安 超2   

  1. 1.重庆邮电大学 计算机学院，重庆 400065
    2.重庆邮电大学 软件学院，重庆 400065
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2012-03-01 发布日期:2012-03-01

Color image enhancement based on fuzzy multiple-scale Retinex

WANG Linlin1, YU Mei1, AN Chao2   

  1. 1.Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    2.Department of Software, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-03-01 Published:2012-03-01

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摘要： 由于中心环绕Retinex算法中假设场景中光照是平缓变化的，所以在图像明暗对比强烈处易出现光晕现象。针对Retinex传统算法的固有缺陷，结合MSRCR算法在色彩恢复上的优势，提出了一种模糊多尺度Retinex彩色图像增强方法（FMSRCR）。FMSRCR使中心环绕空间对比运算仅在光照强度相近的区域中进行，克服了光照不均的影响。同时采用自适应高斯模，减少了卷积运算量。通过实验证明该方法是有效的。

关键词: 模糊多尺度Retinex, 彩色图像增强, MSRCR算法

Abstract: Based on the assumption of spatially smooth illuminant, traditional Retinex enhancement methods suffer the existence of halo artifacts. According to its drawback, add to the advantage of MSRCR, a fuzzy multiple-scale Retinex color image enhancement method is proposed. The new Retinex method restricts the center/surround spatially contrast operation in region with homogeneous illumination. Experimental results demonstrate that the method efficiently reduces halo artifacts. Meanwhile, it uses an adaptive Gaussian mask to reduce the computational time. Experimental results are given to show its effectiveness.

Key words: fuzzy multiple-scale retinex, color image enhancement, MSRCR algorithm

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