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A weight-based optimization algorithm of histogram equalization
Author(s): Shijie Zhou; Juan Chen; Quan Wen
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Paper Abstract

Histogram equalization is a simple and effective image enhancement technique that adjusts the contrast through the histogram of the image. In order to optimize the histogram equalization and improve the conventional mapping method, we propose the Histogram Equalization of Weighted Gray-Level Difference (HEWGLD) algorithm, which utilizes the quantity of pixels at each gray level as weight and adjusts the image gray levels based on the conventional histogram equalization results. The whole problem is modelled as a linear programming problem, and solved by a greedy method, which can lead to the global optimal value. The experimental results show that compared with the conventional histogram equalization algorithm, the optimization algorithm has obvious contrast enhancement effect for grayscale images with histogram peaks, and the visual effects of the edges between foreground and background in the image are improved efficiently.

Paper Details

Date Published: 8 February 2019
PDF: 7 pages
Proc. SPIE 10843, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging, 108430T (8 February 2019); doi: 10.1117/12.2506343
Show Author Affiliations
Shijie Zhou, Univ. of Electronic Science and Technology of China (China)
Juan Chen, Univ. of Electronic Science and Technology of China (China)
Quan Wen, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 10843:
9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging
Yadong Jiang; Xiaoliang Ma; Xiong Li; Mingbo Pu; Xue Feng; Bernard Kippelen, Editor(s)

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