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http://dx.doi.org/10.9717/kmms.2016.19.8.1386

A Pyramid Fusion Method of Two Differently Exposed Images Using Gray Pixel Values  

Im, Su Jin (Dept. of Electronic and Computer Engineering., Graduate School of Seokyeong University)
Kim, Jin Heon (Dept. of Computer Engineering., Seokyeong University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.8, 2016 , pp. 1386-1394 More about this Journal
Abstract
Pyramid fusion usually adjusts the Laplacian weights of pixels of the input images by evaluating predefined criteria. This has advantages that it can selectively express intense color and enhance the contrast when applied to HDR exposure fusion. But it may cause noise because the weights are determined by pixel importance without considering the interdependent pixel relationship that constitutes a scene. This paper proposes a fusion method using simple weight criteria generated from the gray pixel values, which is expected to preserve the interdependent relationship and improve execution speed. In order to evaluate the performance of the proposed method we examine a homogeneity measure, H and compare the execution time for both methods. The proposed method is found to be more advantageous with respect to homogeneity and execution speed.
Keywords
High Dynamic Range; Pyramid Fusion; Image Pyramid; Homogeneity Measure; Exposure Fusion;
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