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Proceedings Paper

Infrared image gray adaptive adjusting enhancement algorithm based on gray redundancy histogram-dealing technique
Author(s): Zi-long Hao; Yong Liu; Ruo-wang Chen
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Paper Abstract

In view of the histogram equalizing algorithm to enhance image in digital image processing, an Infrared Image Gray adaptive adjusting Enhancement Algorithm Based on Gray Redundancy Histogram-dealing Technique is proposed. The algorithm is based on the determination of the entire image gray value, enhanced or lowered the image’s overall gray value by increasing appropriate gray points, and then use gray-level redundancy HE method to compress the gray-scale of the image. The algorithm can enhance image detail information. Through MATLAB simulation, this paper compares the algorithm with the histogram equalization method and the algorithm based on gray redundancy histogram-dealing technique , and verifies the effectiveness of the algorithm.

Paper Details

Date Published: 7 November 2016
PDF: 6 pages
Proc. SPIE 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016, 101411T (7 November 2016); doi: 10.1117/12.2256459
Show Author Affiliations
Zi-long Hao, Northwest Institute of Nuclear Technology (China)
Yong Liu, Northwest Institute of Nuclear Technology (China)
Ruo-wang Chen, Northwest Institute of Nuclear Technology (China)


Published in SPIE Proceedings Vol. 10141:
Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016
Yueguang Lv; Weimin Bao; Guangjun Zhang, Editor(s)

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