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http://dx.doi.org/10.9717/kmms.2021.24.8.1059

A HDR Algorithm for Single Image Based on Exposure Fusion Using Variable Gamma Coefficient  

Han, Kyu-Phil (Dept. of Computer Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of Korea Multimedia Society / v.24, no.8, 2021 , pp. 1059-1067 More about this Journal
Abstract
In this paper, a HDR algorithm for a single image is proposed using the exposure fusion, that adaptively calculates gamma correction coefficients according to the image distribution. Since typical HDR methods should use at least three images with different exposure values at the same scene, the main problem was that they could not be applied at the single shot image. Thus, HDR enhancements based on a single image using tone mapping and histogram modifications were recently presented, but these created some location-specific noises due to improper corrections. Therefore, the proposed algorithm calculates proper gamma coefficients according to the distribution of the input image and generates different exposure images which are corrected by the dark and the bright region stretching. A HDR image reproduction controlling exposure fusion weights among the gamma corrected and the original pixels is presented. As the result, the proposed algorithm can reduce certain noises at both the flat and the edge areas and obtain subjectively superior image quality to that of conventional methods.
Keywords
High Dynamic Range; Exposure Fusion; Gamma Correction; Tone Mapping; Histogram Modification;
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