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http://dx.doi.org/10.9717/kmms.2019.22.10.1160

An Approximation of Gaussian Pyramid Top Layer for Simplification of Image Pyramid-based Multi Scale Exposure Fusion Algorithm  

Hwang, Tae Hun (Graduate School of Electronic & Computer Eng., Seokyeong University)
Kim, Jin Heon (Graduate School of Electronic & Computer Eng., Seokyeong University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.10, 2019 , pp. 1160-1167 More about this Journal
Abstract
Because of the dynamic range limitation of digital equipment, it is impossible to obtain dark and bright areas at the same time with one shot. In order to solve this problem, an exposure fusion technique for fusing a plurality of images photographed at different exposure amounts into one is being studied. Among them, Laplacian pyramid decomposition based fusion method can generate natural HDR image by fusing images of various scales. But this requires a lot of computation time. Therefore, in this paper, we propose an approximation technique that achieves similar performance and greatly shortens computation time. The concept of vanishing point image for approximation is introduced, and the validity of the proposed approach is verified by comparing the computation time with the resultant image.
Keywords
Approximation; Exposure Fusion; Image Pyramid; Single Scale Fusion;
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