Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain
Joint Authors
Wu, Shi
Fang, Zhijun
Sun, Xiankun
Liu, Huijie
Li, Chengfan
Yin, Jingyuan
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
We propose a novel approach for low-light image enhancement.
Based on illumination-reflection model, the guided image filter is employed to extract the illumination component of the underlying image.
Afterwards, we obtain the reflection component and enhance it by nonlinear functions, sigmoid and gamma, respectively.
We use the first-order edge-aware constraint in the gradient domain to achieve good edge preserving features of enhanced images and to eliminate halo artefact effectively.
Moreover, the resulting images have high contrast and ample details due to the enhanced illumination and reflection component.
We evaluate our method by operating on a large amount of low-light images, with comparison with other popular methods.
The experimental results show that our approach outperforms the others in terms of visual perception and objective evaluation.
American Psychological Association (APA)
Sun, Xiankun& Liu, Huijie& Wu, Shi& Fang, Zhijun& Li, Chengfan& Yin, Jingyuan. 2017. Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain. International Journal of Digital Multimedia Broadcasting،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1165924
Modern Language Association (MLA)
Sun, Xiankun…[et al.]. Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain. International Journal of Digital Multimedia Broadcasting No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1165924
American Medical Association (AMA)
Sun, Xiankun& Liu, Huijie& Wu, Shi& Fang, Zhijun& Li, Chengfan& Yin, Jingyuan. Low-Light Image Enhancement Based on Guided Image Filtering in Gradient Domain. International Journal of Digital Multimedia Broadcasting. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1165924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165924