Real-Time Enhancement Method of Low Gray Image Under Dark Background

HUANG Mei; WU Zhi-yong; LIANG Min-hua; YU Jian-jun; GUAN Mu-qiang

doi:10.3788/YJYXS20112603.0374

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Real-Time Enhancement Method of Low Gray Image Under Dark Background

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Real-Time Enhancement Method of Low Gray Image Under Dark Background
- Chinese Journal of Liquid Crystals and Displays Vol. 26, Issue 3, Pages: 374-378(2011)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院研究生院北京,100049
  3. 中国人民解放军91245部队,辽宁葫芦岛,125000
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20112603.0374
  CLC： TP911.73
- Received：08 December 2010，
  
  Revised：02 March 2011，
  
  Published Online：20 June 2011，
  
  Published：20 June 2011
- 稿件说明：
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黄梅, 吴志勇, 梁敏华, 于建军, 管目强. 暗背景下低灰度图像的实时增强[J]. 液晶与显示, 2011,26(3): 374-378

HUANG Mei, WU Zhi-yong, LIANG Min-hua, YU Jian-jun, GUAN Mu-qiang. Real-Time Enhancement Method of Low Gray Image Under Dark Background[J]. , 2011,26(3): 374-378
黄梅, 吴志勇, 梁敏华, 于建军, 管目强. 暗背景下低灰度图像的实时增强[J]. 液晶与显示, 2011,26(3): 374-378 DOI： 10.3788/YJYXS20112603.0374.

HUANG Mei, WU Zhi-yong, LIANG Min-hua, YU Jian-jun, GUAN Mu-qiang. Real-Time Enhancement Method of Low Gray Image Under Dark Background[J]. , 2011,26(3): 374-378 DOI： 10.3788/YJYXS20112603.0374.

摘要

灰度图像由于光照等原因往往存在着较暗区域

并且这些区域的图像细节无法直接识别。针对这种现象

提出了一种基于局部统计增强的改进算法

并有效结合子块部分重叠的思想

实现了暗背景下低灰度图像的实时增强。与传统直方图均衡化增强方法相比

该方法保留了较亮区域的视觉特性

且对噪声的增强相对较弱。在TMS320DM642实时图像处理系统上的验证结果表明

该方法能取得非常好的显示效果

并且处理时间为每帧8 ms左右

完全满足实时性要求。

Abstract

Dark areas often exist in gray image as light and other reasons

hence

in these areas the image detail can not be directly identified. So an improved image enhancement algorithm based on local statistics and partially overlapped sub-block ideas is proposed in this paper. The proposed algorithm can achieve real-time enhancement of low gray image under dark background. Compared with traditional histogram equalization method

the new algorithm not only reserves the visual characteristics of bright region but also brings relatively weak noise enhancement. Experimental results tested on TMS320DM642 real-time image processing system show that the proposed algorithm obtains excellent display performance

and the processing time for each frame is around 8 ms

which satisfies the real-time requirement completely.

关键词

Keywords

references

李力,金伟其,黄有为,等.一种低对比度可见光超视距成像的实时图像增强方法[J]. 兵工学报, 2010, 31(2):242-247.[2] 孙玉胜,白克.基于小波变换与加权滤波的电机红外图像增强[J]. 液晶与显示, 2010,25(3):439-443.[3] 詹永鑫,郑学仁,陈建宾.基于亮度分量的快速图像增强方法[J]. 液晶与显示, 2010,25(2):273-277.[4] 胡元刚.直方图均衡增强算法在实时图像处理中的实现[J]. 液晶与显示, 2009, 24(6):907-910.[5] 朱明,鲁剑锋,赵建,等.基于TMS320C6202 DSP的实时数字图像处理系统的设计[J]. 光学精密工程 , 2003,11(5): 497-501.[6] 张大奇,曲仕茹,何力.路面病害检测系统中的图像增强技术[J]. 光学精密工程, 2010, 18(8):1869-1876.[7] 蔡超峰.局部直方图均衡化算法研究及其应用 .郑州:郑州大学,2005.[8] 冈萨雷斯. 数字图像处理(第二版) [M]. 阮秋琦,阮宇智,译.北京:电子工业出版社,2008.

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College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081,China,E-mail:chenyu1999005007@163.

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