Low-light image restoration using bright channel prior-based variational Retinex modelopen access
- Authors
- Park, Seonhee; Moon, Byeongho; Ko, Seungyong; Yu, Soohwan; Paik, Joonki
- Issue Date
- Jun-2017
- Publisher
- SPRINGER INTERNATIONAL PUBLISHING AG
- Keywords
- Low-light image enhancement; Retinex; Bright channel prior
- Citation
- EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
- Journal Title
- EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/4319
- DOI
- 10.1186/s13640-017-0192-3
- ISSN
- 1687-5281
1687-5281
- Abstract
- This paper presents a low-light image restoration method based on the variational Retinex model using the bright channel prior (BCP) and total-variation minimization. The proposed method first estimates the bright channel to control the amount of brightness enhancement. Next, the variational Retinex-based energy function is iteratively minimized to estimate the improved illumination and reflectance using the BCP. Contrast of the estimated illumination is enhanced using the gamma correction and histogram equalization to reduce a color distortion and noise amplification. Experimental results show that the proposed method can provide the better restored result than the existing methods without unnatural artifacts such as noise amplification and halo effects near edges.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.