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A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images
Joint Authors
Yun, Hai-jiao
Wu, Zhi-yong
Wang, Guan-jun
Tong, Gang
Yang, Hua
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A novel enhancement method of global brightness modulation and local contrast enhancement combined with the improved fuzzy set theory is proposed for color image contrast enhancement.
The proposed method consists of three stages.
Firstly, putting forward nonlinear global brightness mapping model adjusts dynamic range of images for luminance component V of H S V color space.
Secondly, membership function is established in stages to adjust local contrast of image details nonlinearly based on fuzzy set theory.
Finally, the enhanced images are transformed from H S V color space into R G B color space.
The experiments further show that the proposed method has the shortest processing time, the highest AIC values, and the least NIQE values among the other four conventional methods.
It has excellent effect, which can enhance the global brightness and local contrast, and advance visibility of low illumination images.
American Psychological Association (APA)
Yun, Hai-jiao& Wu, Zhi-yong& Wang, Guan-jun& Tong, Gang& Yang, Hua. 2016. A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112741
Modern Language Association (MLA)
Yun, Hai-jiao…[et al.]. A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112741
American Medical Association (AMA)
Yun, Hai-jiao& Wu, Zhi-yong& Wang, Guan-jun& Tong, Gang& Yang, Hua. A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112741
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112741