Infrared image gray adaptive adjusting enhancement algorithm based on gray redundancy histogram-dealing technique

Zi-long Hao; Yong Liu; Ruo-wang Chen

doi:10.1117/12.2256459

7 November 2016 Infrared image gray adaptive adjusting enhancement algorithm based on gray redundancy histogram-dealing technique

Zi-long Hao, Yong Liu, Ruo-wang Chen

Author Affiliations +

Proceedings Volume 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016; 101411T (2016) https://doi.org/10.1117/12.2256459
Event: Selected Proceedings of the Chinese Society for Optical Engineering Conferences held July 2016, 2016, Changchun, China

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.

Citation Download Citation

Zi-long Hao, Yong Liu, and Ruo-wang Chen "Infrared image gray adaptive adjusting enhancement algorithm based on gray redundancy histogram-dealing technique", Proc. SPIE 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016, 101411T (7 November 2016); https://doi.org/10.1117/12.2256459

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