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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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
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