期刊
SIGNAL PROCESSING
卷 93, 期 11, 页码 3227-3238出版社
ELSEVIER
DOI: 10.1016/j.sigpro.2013.04.025
关键词
Exposure correction; Relative exposure; Non-uniform noise reduction
资金
- National Natural Science Foundation of China [61170142]
- National Key Technology RD Program [2011BAG05B04]
- Program of International ST Cooperation [2013DFG12840]
- Fundamental Research Funds for the Central Universities
We address the problem of exposure correction for under-exposed images in this paper. We propose the bright channel prior based on the statistics of well-exposed images. Using the proposed prior, we are able to estimate the relative exposure in local image regions. A well-exposed noise-free image is then recovered after exposure correction followed by non-uniform denoising and detail enhancement. Our experiments on under-exposed images of various scenes demonstrate the effectiveness of the bright channel prior. Our user study shows that the results generated by our exposure correction method are preferred over existing methods. (C) 2013 Elsevier B.V. All rights reserved.
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