期刊
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
卷 -, 期 -, 页码 -出版社
SPRINGEROPEN
DOI: 10.1186/s13640-017-0192-3
关键词
Low-light image enhancement; Retinex; Bright channel prior
资金
- Institute for Information & Communications Technology Promotion (IITP) - Korean government (MSIP) [B0101-15-0525]
- Korea Aerospace Research Institute
- National Research Foundation of Korea [21B20130011122] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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.
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