基于全局和局部多特征的图像增强算法

刘玉洁; 朱韶平

doi:10.3788/YJYXS20203505.0508

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基于全局和局部多特征的图像增强算法

图像处理 | 更新时间：2020-08-12

- 基于全局和局部多特征的图像增强算法
- Image enhancement algorithm based on global and local multi features
- 液晶与显示 2020年35卷第5期页码：508-512
- 作者机构：
  
  珠海城市职业技术学院, 广东珠海 519090
- 作者简介：
  
  [ "刘玉洁(1983-), 女, 湖南双峰人, 硕士, 讲师, 2010年于华中科技大学获得硕士学位, 主要从事物联网技术等方面的研究。E-mail:liuyujielyj11@163.com" ]
- 基金信息：
  
  2017年度广东省教育厅重点平台及科研项目普通高校青年创新人才类项目(2017GkQNCX071)
- DOI：10.3788/YJYXS20203505.0508
  中图分类号： TP391.41
- 收稿日期：2019-11-05，
  
  修回日期：2020-01-09，
  
  录用日期：2020-1-9，
  
  纸质出版日期：2020-05-05
- 稿件说明：
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刘玉洁, 朱韶平. 基于全局和局部多特征的图像增强算法[J]. 液晶与显示, 2020,35(5):508-512.

Yu-jie LIU, Shao-ping ZHU. Image enhancement algorithm based on global and local multi features[J]. Chinese journal of liquid crystals and displays, 2020, 35(5): 508-512.
刘玉洁, 朱韶平. 基于全局和局部多特征的图像增强算法[J]. 液晶与显示, 2020,35(5):508-512. DOI： 10.3788/YJYXS20203505.0508.

Yu-jie LIU, Shao-ping ZHU. Image enhancement algorithm based on global and local multi features[J]. Chinese journal of liquid crystals and displays, 2020, 35(5): 508-512. DOI： 10.3788/YJYXS20203505.0508.

摘要

为了解决图像增强时存在的过度增强、图像信息量不足、性能退化等问题，本文提出了一种基于图像局部亮度平均值和全局对比度的图像增强算法。该算法根据图像局部亮度平均值来控制图像的局部对比度，并在全局部分采用局部与全局的对比度比例作为幂次变换的伽马值来进行图像增强。将图像分为低通滤波和高通滤波两部分，低通滤波分量控制高通滤波分量的幅度以增加局部对比度，然后对低通分量以非线性的方式修改图像的局部亮度平均值，并将其与处理后的高通分量进行融合。在对比实验中，本文提出的算法比次优算法的清晰度提高了9.9%，均方根误差（RMSE）提高了16%。实验证明本文算法在图像增强过程中能提升图像的清晰度，丰富图像细节，满足图像增强算法的稳定性好、鲁棒性强、清晰度高等要求。

Abstract

In order to solve the problems of over enhancement and performance degradation in image enhancement

an image enhancement algorithm based on the local brightness average and global contrast of image is proposed. The algorithm controls the local contrast of image according to the local brightness average of image

and adopts the local and full contrast in global part. The local contrast ratio is the gamma value of the power transformation. Firstly

the image is divided into two parts:low pass filter and high pass filter. The low pass filter controls the amplitude of high pass filter to increase the local contrast. Then' the low-pass component is modified in a non-linear way and fused with the processed high-pass component. In the contrast experiment

the clarity of the algorithm proposed in this paper is 9.9% higher than that of the suboptimal algorithm

and the root mean square error(RMSE) is 16% higher. In the process of image enhancement

this algorithm can improve the definition of image

enrich the details of image

and meet the requirements of stability

robustness and high definition of image enhancement algorithm.

关键词

Keywords

references

张偌雅 , 李珍珍 . 数字图像质量评价综述 . 现代计算机 , 2017 . ( 29 ): 78 - 81 . DOI: 10.3969/j.issn.1007-1423.2017.29.019 http://doi.org/10.3969/j.issn.1007-1423.2017.29.019 .

R Y ZHANG , Z Z LI . Overview of digital image quality evaluation . Modern Computer , 2017 . ( 29 ): 78 - 81 . DOI: 10.3969/j.issn.1007-1423.2017.29.019 http://doi.org/10.3969/j.issn.1007-1423.2017.29.019 .

席诗琼 , 韩胜 , 耿卫东 . 一种指纹奇异点区域图像增强算法 . 液晶与显示 , 2018 . 33 ( 9 ): 89 - 95 . http://yjyxs.com/CN/abstract/abstract10365.shtml http://yjyxs.com/CN/abstract/abstract10365.shtml .

S Q XI , S HAN , W D GENG . An image enhancement algorithm for fingerprint singularity area . Chinese Journal of Liquid Crystal and Displays , 2018 . 33 ( 9 ): 89 - 95 . http://yjyxs.com/CN/abstract/abstract10365.shtml http://yjyxs.com/CN/abstract/abstract10365.shtml .

Y T KIM . Contrast enhancement using brightness preserving bi-histogram equalization . IEEE Trans. Consumer Electronics , 1997 . 43 1 - 8 . DOI: 10.1109/30.580378 http://doi.org/10.1109/30.580378 .

苑豪杰 , 刘昌禄 , 许建平 , 等 . 基于自适应多子直方图均衡的图像增强算法 . 指挥控制与仿真 , 2017 . 39 ( 5 ): 45 - 49 . DOI: 10.3969/j.issn.1673-3819.2017.05.010 http://doi.org/10.3969/j.issn.1673-3819.2017.05.010 .

H J YUAN , C L LIU , J P XU , 等 . Image enhancement algorithm based on adaptive multi-sub-histogram equalization . Command Control and Simulation , 2017 . 39 ( 5 ): 45 - 49 . DOI: 10.3969/j.issn.1673-3819.2017.05.010 http://doi.org/10.3969/j.issn.1673-3819.2017.05.010 .

D MENOTTI , L NAJMAN , J FACON , 等 . Multi-histogram equalization methods for contrast enhancement and brightness preserving . IEEE Trans. Consumer Electronics , 2007 . 53 1186 - 1194 . DOI: 10.1109/TCE.2007.4341603 http://doi.org/10.1109/TCE.2007.4341603 .

越琳 , 高丽燕 . 直方图分割耦合裁剪控制均衡化的图像增强算法 . 计算机工程与设计 , 2017 . ( 2 ): 465 - 469 . http://d.old.wanfangdata.com.cn/Periodical/jsjgcysj201702035 http://d.old.wanfangdata.com.cn/Periodical/jsjgcysj201702035 .

L YUE , L Y GAO . Image enhancement algorithm based on histogram segmentation coupled with clipping control equalization . Computer Engineering and Design , 2017 . ( 2 ): 465 - 469 . http://d.old.wanfangdata.com.cn/Periodical/jsjgcysj201702035 http://d.old.wanfangdata.com.cn/Periodical/jsjgcysj201702035 .

MEYLAN L, SSSTRUNK S. Color image enhancement using a Retinex-based adaptive filter[C]// Proc. IS & T Second European Conference on Color in Graphics , Image , and Vision , 2004, 2: 359-363.

杜雯超.基于GA优化PCNN的图像增强与分割的应用研究[D].福州: 福州大学, 2015. http://cdmd.cnki.com.cn/Article/CDMD-10657-1015910846.htm

DU W C. Application research on image enhancement and segmentation based on GA optimized PCNN[D]. Fuzhou: Fuzhou University, 2015. (in Chinese)

D JOBSON , Z RAHMAN , G WOODELL . A multiscale Retinex for bridging the gap between color images and the human observation of scenes . IEEE Trans. Image Processing , 1997 . 6 965 - 976 . DOI: 10.1109/83.597272 http://doi.org/10.1109/83.597272 .

A CHOUDHURY , G MEDIONI . Perceptually motivated automatic color contrast enhancement based on color constancy estimation . EURASIP Journal on Image and Video Processing , 2010 . 83 837237 http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_691ef37864f64caad073814b1657870e http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_691ef37864f64caad073814b1657870e .

李垚峰 , 何小海 , 吴小强 . 改进的带色彩恢复的多尺度Retinex雾天图像增强算法 . 计算机应用 , 2014 . 34 ( 10 ): 2996 - 2999 . DOI: 10.11772/j.issn.1001-9081.2014.10.2996 http://doi.org/10.11772/j.issn.1001-9081.2014.10.2996 .

Y F LI , X H HE , X Q WU . Improved multi-scale Retinax fog image enhancement algorithm with color recovery . Computer Application , 2014 . 34 ( 10 ): 2996 - 2999 . DOI: 10.11772/j.issn.1001-9081.2014.10.2996 http://doi.org/10.11772/j.issn.1001-9081.2014.10.2996 .

刘冬梅 , 常发亮 . 结合Retinex校正和显著性的主动轮廓图像分割 . 光学精密工程 , 2019 . 27 ( 7 ): 1593 - 1600 . http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201907021 http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201907021 .

D M LIU , F L CHANG . Active contour model for image segmentation based on Retinex correction and saliency . Optics and Precision Engineering , 2019 . 27 ( 7 ): 1593 - 1600 . http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201907021 http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201907021 .

王浩 , 张叶 , 沈宏海 , 等 . 图像增强算法综述 . 中国光学 , 2017 . 10 ( 4 ): 438 - 448 . http://d.old.wanfangdata.com.cn/Periodical/ccgxjmjxxyxb201603013 http://d.old.wanfangdata.com.cn/Periodical/ccgxjmjxxyxb201603013 .

H WANG , Y ZHANG , H H SHEN , 等 . Review of image enhancement algorithms . Chinese Optics , 2017 . 10 ( 4 ): 438 - 448 . http://d.old.wanfangdata.com.cn/Periodical/ccgxjmjxxyxb201603013 http://d.old.wanfangdata.com.cn/Periodical/ccgxjmjxxyxb201603013 .

S LEE , H KWON , H HAN , 等 . A space-variant luminance map based color image enhancement . IEEE Trans. Consumer Electronics , 2010 . 56 ( 4 ): 2636 - 2643 . DOI: 10.1109/TCE.2010.5681151 http://doi.org/10.1109/TCE.2010.5681151 .

梅英杰 , 宁媛 , 陈进军 . 融合暗通道先验和MSRCR的分块调节图像增强算法 . 光子学报 , 2019 . 48 ( 7 ): 710005 - 0710005 . http://d.old.wanfangdata.com.cn/Periodical/gzxb201907013 http://d.old.wanfangdata.com.cn/Periodical/gzxb201907013 .

Y J MEI , Y NING , J J CHEN . Block-adjusted image enhancement algorithm combining dark channel prior with MSRCR . Acta Photonica Sinica , 2019 . 48 ( 7 ): 710005 - 0710005 . http://d.old.wanfangdata.com.cn/Periodical/gzxb201907013 http://d.old.wanfangdata.com.cn/Periodical/gzxb201907013 .

D KARTHIKA , A MARIMUTHU . Retinal image analysis usingcontourlet transform and multistructure elements morphology by reconstruction . IEEE Trans. Biomed. Eng. , 2011 . 58 ( 5 ): 1183 - 1194 . DOI: 10.1109/TBME.2010.2097599 http://doi.org/10.1109/TBME.2010.2097599 .

AARTI K P. An efficient algorithm to enhance the digital/medical image using SWT and AMF in wavelet transformation domain[C]//International Conference on Computing for Sustainable Global Development, 2016: 82-89.

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