Application of image enhancement method for digital images based on Retinex theory

被引:34
|
作者
Li, Jia [1 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Inst Fiber Opt Commun & Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
来源
OPTIK | 2013年 / 124卷 / 23期
基金
中国国家自然科学基金;
关键词
Digital image enhancement; Retinex theory; Multi scale Retinex algorithm;
D O I
10.1016/j.ijleo.2013.04.115
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The image enhancement and implementation of the methods for the digital image enhancement were studied. The characteristics of different image enhancement methods, including contrast enhancement, linear transformation, piecewise linear transformation, grayscale slice transformation and Retinex clearing algorithms were analyzed in detail. Retinex enhancement algorithms were studied and the implementation process for the Retinex algorithm is given. Finally, an example of image enhancement using the multi scale Retinex algorithm (MSR) is achieved. It is shown that MSR can realize the image color constancy, local dynamic range compression, color enhancement and the overall dynamic range compression under certain circumstances. (C) 2013 Elsevier GmbH. All rights reserved.
引用
收藏
页码:5986 / 5988
页数:3
相关论文
共 50 条
  • [1] Image Enhancement for Inspection of Cable Images Based on Retinex Theory and Fuzzy Enhancement Method in Wavelet Domain
    Ye, Xuhui
    Wu, Gongping
    Huang, Le
    Fan, Fei
    Zhang, Yongxiang
    [J]. SYMMETRY-BASEL, 2018, 10 (11):
  • [2] An Image Enhancement Algorithm Based on Retinex Theory
    He, Li
    Luo, Ling
    Shang, Jin
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL II, 2009, : 350 - +
  • [3] Enhancement of infrared image based on the Retinex theory
    Li, Ying
    Hou, Changzhi
    Tian, Fu
    Yu, Hongli
    Guo, Lei
    Xu, Guizhi
    Shen, Xueqin
    Yan, Weili
    [J]. 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 3315 - +
  • [4] Endoscopic Image Enhancement Based on Retinex Theory
    Chen, Yueyang
    He, Xingkuan
    Li, Chenyao
    [J]. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2021, 41 (09): : 985 - 989
  • [5] A study on Retinex Based method for Image Enhancement
    Parihar, Anil Singh
    Singh, Kavinder
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INVENTIVE SYSTEMS AND CONTROL (ICISC 2018), 2018, : 619 - 624
  • [6] An Improved Multi-Scale Image Enhancement Method Based on Retinex Theory
    Yao, Li
    Lin, Ya
    Muhammad, Sohail
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2018, 8 (01) : 122 - 126
  • [7] An Improved Image Enhancement Approach based on Retinex Theory
    Wu, Siqi
    Hu, Zhihui
    Yu, Weiyu
    Feng, Jiuchao
    [J]. 2013 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS (ITA), 2013, : 67 - 71
  • [8] A Survey of Image Enhancement Algorithms Based on Retinex Theory
    Zhang Guodong
    Yan Peiyu
    Zhao Hong
    Zhang Xin
    [J]. ICCSE 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2008, : 402 - 409
  • [9] Application of the Real-Time Retinex Image Enhancement for Endoscopic Images
    Okuhata, Hiroyuki
    Nakamura, Hajime
    Hara, Shinsuke
    Tsutsui, Hiroshi
    Onoye, Takao
    [J]. 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 3411 - 3414
  • [10] Color Image Enhancement Based on Retinex Theory with Guided Filter
    Tang, Shi
    Dong, Mingjie
    Ma, Jinlei
    Zhou, Zhiqiang
    Li, Changqing
    [J]. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 5676 - 5680