Journal
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume 63, Issue 2, Pages 178-184Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCE.2017.014847
Keywords
Image restoration; Image enhancement; Optimization
Funding
- Institute for Information & communications Technology Promotion (IITP) grant - Korea government (MSIP) [B0101-16-0525]
- Commercializations Promotion Agency for R&D Outcomes (COMPA) - Ministry of Science, ICT and Future Planning (MSIP)
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [B0101-16-0525] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [21B20130011122] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This paper presents an optimization-based low-light image enhancement method using spatially adaptive l(2)-norm based Retinex model. The proposed method adaptively enforces the regularization parameter using the spatially adaptive weight map, which is generated using the bright channel prior (BCP) and local variance map. Since the proposed weight map assigns the smaller weight value at the bright and edge region, the proposed method can perform weak noise reduction to preserve the edges and textures. In addition, the simplified version of the proposed method is presented using the FFT and quantized weight values for the application to consumer devices. Experimental results show that the proposed method can provide better enhanced result without the l(2)-norm minimization artifacts at the low computational cost.
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