Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.sigpro.2013.04.025
Title: Automatic local exposure correction using bright channel prior for under-exposed images
Authors: Wang, Y.
Zhuo, S. 
Tao, D.
Bu, J.
Li, N.
Keywords: Exposure correction
Non-uniform noise reduction
Relative exposure
Issue Date: 2013
Source: Wang, Y., Zhuo, S., Tao, D., Bu, J., Li, N. (2013). Automatic local exposure correction using bright channel prior for under-exposed images. Signal Processing 93 (11) : 3227-3238. ScholarBank@NUS Repository. https://doi.org/10.1016/j.sigpro.2013.04.025
Abstract: 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. © 2013 Elsevier B.V.
Source Title: Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/55171
ISSN: 01651684
DOI: 10.1016/j.sigpro.2013.04.025
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