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http://dx.doi.org/10.5909/JBE.2017.22.3.327

Modified Exposure Fusion with Improved Exposure Adjustment Using Histogram and Gamma Correction  

Park, Imjae (Department of Electronics and Computer Engineering, Hanyang University)
Park, Deajun (Department of Electronics and Computer Engineering, Hanyang University)
Jeong, Jechang (Department of Electronics and Computer Engineering, Hanyang University)
Publication Information
Journal of Broadcast Engineering / v.22, no.3, 2017 , pp. 327-338 More about this Journal
Abstract
Exposure fusion is a typical image fusion technique to generate a high dynamic range image by combining two or more different exposure images. In this paper, we propose block-based exposure adjustment considering unique characteristics of human visual system and improved saturation measure to get weight map. Proposed exposure adjustment artificially corrects intensity values of each input images considering human visual system, efficiently preserving details in the result image of exposure fusion. The improved saturation measure is used to make a weight map that effectively reflects the saturation region in the input images. We show the superiority of the proposed algorithm through subjective image quality, MEF-SSIM, and execution time comparison with the conventional exposure fusion algorithm.
Keywords
Exposure fusion; Exposure adjustment; High dynamic range imaging; CIELAB color model; Human visual system;
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Times Cited By KSCI : 3  (Citation Analysis)
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