轮廓波域内局部对比度增强的彩色图像灰度化算法

王冰雪; 刘广文; 刘美; 陈广秋

doi:10.3788/YJYXS20203502.0151

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轮廓波域内局部对比度增强的彩色图像灰度化算法

图像处理 | 更新时间：2020-07-16

- 轮廓波域内局部对比度增强的彩色图像灰度化算法
- Color tograyscale algorithm based on local contrast enhancement in contourlet transform domain
- 液晶与显示 2020年35卷第2期页码：151-160
- 作者机构：
  
  长春理工大学电子信息工程学院, 吉林长春 130022
- 作者简介：
  
  [ "王冰雪(1993-), 女, 安徽宿州人, 硕士研究生, 2017年于天津职业技术师范大学获得学士学位, 主要研究方向为复杂电子信息处理。E-mail:1195584924@qq.com" ]
  [ "刘广文(1971-), 男, 吉林长春人, 博士, 副教授, 2009年于长春理工大学获得博士学位, 主要研究方向为信息处理及图像处理技术。E-mail:lgwen_2003@126.com" ]
- 基金信息：
  
  吉林省科技发展计划项目(20180201090GX);吉林省教育厅"十三五"科学研究规划项目(JJKH20170618KJ)
- DOI：10.3788/YJYXS20203502.0151
  中图分类号： TP394.1
- 收稿日期：2019-08-16，
  
  修回日期：2019-11-12，
  
  录用日期：2019-11-12，
  
  纸质出版日期：2020-02-05
- 稿件说明：
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王冰雪, 刘广文, 刘美, 等. 轮廓波域内局部对比度增强的彩色图像灰度化算法[J]. 液晶与显示, 2020,35(2):151-160.

Bing-xue WANG, Guang-wen LIU, Mei LIU, et al. Color tograyscale algorithm based on local contrast enhancement in contourlet transform domain[J]. Chinese journal of liquid crystals and displays, 2020, 35(2): 151-160.
王冰雪, 刘广文, 刘美, 等. 轮廓波域内局部对比度增强的彩色图像灰度化算法[J]. 液晶与显示, 2020,35(2):151-160. DOI： 10.3788/YJYXS20203502.0151.

Bing-xue WANG, Guang-wen LIU, Mei LIU, et al. Color tograyscale algorithm based on local contrast enhancement in contourlet transform domain[J]. Chinese journal of liquid crystals and displays, 2020, 35(2): 151-160. DOI： 10.3788/YJYXS20203502.0151.

摘要

为了更好地保留原彩色图像的局部对比度，获得感知准确的灰度图像，提出了一种轮廓波域内局部对比度增强的灰度化算法。首先在CIE Lab色彩空间中利用共轭梯度算法优化目标函数，求取全局映射函数参数，得到初步灰度化图像；然后采用轮廓波变换对彩色图像和初步灰度化图像进行多尺度多方向分解，利用局部色彩对比度比值对方向细节图像进行对比度增强，应用轮廓波逆变换得到增强后的细节图像；最后将初步灰度化图像与增强后的细节图像进行叠加，得到灰度化图像。对COLOR250和Čadik图像集的实验结果表明，本文提出的算法优于已有文献的一些典型灰度化算法，能够有效保留原始图像的对比度与结构信息，灰度化图像视觉感知自然，主客观评价结果均为最优。

Abstract

In order to better preserve the local contrast of the original color image and obtain the perceptual accurate grayscale image

a grayscale algorithm based on local contrast enhancement in contourlet transform domain is proposed. Firstly

in CIE Lab space

the conjugate gradient algorithm is used to optimize the objective function to get the global mapping function parameters

and preliminary grayscale image is obtained. Then

the multi-scale and multi-direction decomposition of color image and preliminary grayscale image are carried out by contourlet transform

local chromatic contrast ratio is used to enhance the contrast of directional detail image

and the enhanced detail image is obtained by inverse contourlet transform. Finally

the enhanced detail image is superimposed with the preliminary grayscale image to get the final grayscale image. Experiments on COLOR250 and Čadik database show that the proposed algorithm in this paper is superior to some typical algorithms in the existing literature

which can effectively preserve the contrast and structure information of the original image. The visual perception is natural for the grayscale image

whose subjectivity and objective evaluations are optimal.

关键词

Keywords

references

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