A weight-based optimization algorithm of histogram equalization

Shijie Zhou; Juan Chen; Quan Wen

doi:10.1117/12.2506343

8 February 2019 A weight-based optimization algorithm of histogram equalization

Shijie Zhou, Juan Chen, Quan Wen

Proceedings Volume 10843, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging; 108430T (2019) https://doi.org/10.1117/12.2506343
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China

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.

Citation Download Citation

Shijie Zhou, Juan Chen, and Quan Wen "A weight-based optimization algorithm of histogram equalization", 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); https://doi.org/10.1117/12.2506343

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