![](/images/graphics-bg.png)
A Low-Light Image Enhancement Method Based on Image Degradation Model and Pure Pixel Ratio Prior
Joint Authors
Gu, Zhenfei
Zhang, Dengyin
Chen, Can
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-16
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Images captured in low-light conditions are prone to suffer from low visibility, which may further degrade the performance of most computational photography and computer vision applications.
In this paper, we propose a low-light image degradation model derived from the atmospheric scattering model, which is simple but effective and robust.
Then, we present a physically valid image prior named pure pixel ratio prior, which is a statistical regularity of extensive nature clear images.
Based on the proposed model and the image prior, a corresponding low-light image enhancement method is also presented.
In this method, we first segment the input image into scenes according to the brightness similarity and utilize a high-efficiency scene-based transmission estimation strategy rather than the traditional per-pixel fashion.
Next, we refine the rough transmission map, by using a total variation smooth operator, and obtain the enhanced image accordingly.
Experiments on a number of challenging nature low-light images verify the effectiveness and robustness of the proposed model, and the corresponding method can show its superiority over several state of the arts.
American Psychological Association (APA)
Gu, Zhenfei& Chen, Can& Zhang, Dengyin. 2018. A Low-Light Image Enhancement Method Based on Image Degradation Model and Pure Pixel Ratio Prior. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1209191
Modern Language Association (MLA)
Gu, Zhenfei…[et al.]. A Low-Light Image Enhancement Method Based on Image Degradation Model and Pure Pixel Ratio Prior. Mathematical Problems in Engineering No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1209191
American Medical Association (AMA)
Gu, Zhenfei& Chen, Can& Zhang, Dengyin. A Low-Light Image Enhancement Method Based on Image Degradation Model and Pure Pixel Ratio Prior. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1209191
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209191