Detail-enhanced Multi-Scale Exposure in YUV Color Space

Detail-enhanced Multi-Scale Exposure in YUV Color Space
Title:
Detail-enhanced Multi-Scale Exposure in YUV Color Space
Other Titles:
IEEE Transactions on Circuits and Systems for Video Technology
Publication Date:
27 May 2019
Citation:
Q. Wang, W. Chen, X. Wu and Z. Li, "Detail-enhanced Multi-scale Exposure Fusion in YUV Color Space," in IEEE Transactions on Circuits and Systems for Video Technology. doi: 10.1109/TCSVT.2019.2919310
Abstract:
It is recognized that existing multi-scale exposure fusion algorithms can be improved using edge-preserving smoothing techniques. However, the complexity of edge-preserving smoothing based multi-scale exposure fusion is an issue for mobile devices. In this paper, a simpler multi-scale exposure fusion algorithm is designed in YUV color space. The proposed algorithm can preserve details in the brightest and darkest regions of a high dynamic range (HDR) scene as well as the edge-preserving smoothing based multi-scale exposure fusion algorithm while avoiding color distortion from appearing in the fused image. The complexity of the proposed algorithm is about half of the edge-preserving smoothing based multi-scale exposure fusion algorithm. The proposed algorithm is thus friendlier to the smartphones than the edge-preserving smoothing based multi-scale exposure fusion algorithm. In addition, a simple detail-enhancement component is proposed to enhance fine details of fused images. Experimental results show that the proposed component can be adopted to produce an enhanced image with visibly enhanced fine details and a higher MEF-SSIM value. This is impossible for existing detail enhancement components. Clearly, the component is attractive for PC based applications.
License type:
PublisherCopyrights
Funding Info:
Description:
(C) 2019 IEEE
ISSN:
1051-8215
1558-2205
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