Hardy Variation Framework for Restoration of Weather Degraded Images
Joint Authors
He, Lin-Yuan
Zhao, Ji-Zhong
Zheng, Nan-Ning
Bi, Du-Yan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Images captured in fog conditions often suffer from weather of poor visibility which fades the colors and reduces the contrast in the scene.
This paper proposes a novel regularization method which utilizes space transformation in order to restore the hidden scene with high dynamic range and enhanced edge information.
In order to efficiently improve the visualization, the proposed method is built upon contrast stretching which can obtain better estimation map as well as solve the problem.
Using minimum energy constraints, the algorithm recovers scene albedo on a number of haze images.
Experimental results show that the method effectively achieves accurate and true representation.
American Psychological Association (APA)
He, Lin-Yuan& Zhao, Ji-Zhong& Zheng, Nan-Ning& Bi, Du-Yan. 2015. Hardy Variation Framework for Restoration of Weather Degraded Images. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074025
Modern Language Association (MLA)
He, Lin-Yuan…[et al.]. Hardy Variation Framework for Restoration of Weather Degraded Images. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074025
American Medical Association (AMA)
He, Lin-Yuan& Zhao, Ji-Zhong& Zheng, Nan-Ning& Bi, Du-Yan. Hardy Variation Framework for Restoration of Weather Degraded Images. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074025
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074025