Noise reduced high dynamic range tone mapping using information content weights

Noise reduced high dynamic range tone mapping using information content weights
Title:
Noise reduced high dynamic range tone mapping using information content weights
Other Titles:
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOI:
10.1109/ICASSP.2015.7178171
Publication Date:
19 April 2015
Citation:
Z. Zhu, Z. Li, S. Wu and P. Fränti, "Noise reduced high dynamic range tone mapping using information content weights," 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, 2015, pp. 1255-1259. doi: 10.1109/ICASSP.2015.7178171
Abstract:
In this paper, we propose a noise reduced tone mapping method based on information content weights, where the perceptually unimportant pixels are smoothed during the decomposition in two steps. First, a saliency-based information content weight is introduced to give high fidelity to the data term based on the ratio of the local pixel power and the overall noise power in the base layer decomposition. Then, the detail layer is subtracted using the mutual information-based information content weight from the original image luminance and the clean base layer. Experiments show the effectiveness of the proposed method in the improvements of both signal-to-noise ratio and visual quality.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
ISBN:
978-1-4673-6997-8
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