UM  > 科技學院
A general histogram modification framework for efficient contrast enhancement
Ke Gu1,2,4; Guangtao Zhai1; Shiqi Wang2; Min Liu1; Jiantao Zhou3; Weisi Lin4
2015
Conference NameIEEE International Symposium on Circuits and Systems (ISCAS)
Source Publication2015 IEEE International Symposium on Circuits and Systems (ISCAS)
Conference Date24-27 May 2015
Conference PlaceLisbon, Portugal
Abstract

In this paper we propose a new general histogram modification framework for contrast enhancement. The proposed model works with a hybrid transformation technique to improve image brightness and contrast based on an optional histogram matching in terms of reassigned probability distribution and Sshaped transfer mapping. Experimental results conducted on natural, dimmed, and tone-mapped images show that the proposed technique creates enhanced images efficiently with equivalent or superior visual quality to those produced by classical and stateof-the-art enhancement approaches.

KeywordContrast Enhancement Histogram Modification (Hm) Reassigned Probability Distribution Histogram Matching S-shaped Transfer Mapping
DOIhttp://doi.org/10.1109/ISCAS.2015.7169272
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000371471003025
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong University, Shanghai, China, 200240
2.Dept. of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada
3.Faculty of Science and Technology, University of Macau, Macau, China, 519080
4.School of Computer Engineering, Nanyang Technological University, Singapore, 639798
Recommended Citation
GB/T 7714
Ke Gu,Guangtao Zhai,Shiqi Wang,et al. A general histogram modification framework for efficient contrast enhancement[C],2015.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Ke Gu]'s Articles
[Guangtao Zhai]'s Articles
[Shiqi Wang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Ke Gu]'s Articles
[Guangtao Zhai]'s Articles
[Shiqi Wang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Ke Gu]'s Articles
[Guangtao Zhai]'s Articles
[Shiqi Wang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.