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Proceedings Paper

Investigation on improved infrared image detail enhancement algorithm based on adaptive histogram statistical stretching and gradient filtering
Author(s): Bangze Zeng; Youpan Zhu; Zemin Li; Dechao Hu; Lin Luo; Deli Zhao; Juan Huang
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Paper Abstract

Duo to infrared image with low contrast, big noise and unclear visual effect, target is very difficult to observed and identified. This paper presents an improved infrared image detail enhancement algorithm based on adaptive histogram statistical stretching and gradient filtering (AHSS-GF). Based on the fact that the human eyes are very sensitive to the edges and lines, the author proposed to extract the details and textures by using the gradient filtering. New histogram could be acquired by calculating the sum of original histogram based on fixed window. With the minimum value for cut-off point, author carried on histogram statistical stretching. After the proper weights given to the details and background, the detail-enhanced results could be acquired finally. The results indicate image contrast could be improved and the details and textures could be enhanced effectively as well.

Paper Details

Date Published: 24 November 2014
PDF: 10 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011N (24 November 2014); doi: 10.1117/12.2072192
Show Author Affiliations
Bangze Zeng, Kunming Institute of Physics (China)
Youpan Zhu, Kunming Institute of Physics (China)
Zemin Li, Kunming Institute of Physics (China)
Dechao Hu, Kunming Institute of Physics (China)
Lin Luo, Kunming Institute of Physics (China)
Deli Zhao, Kunming Institute of Physics (China)
Juan Huang, Kunming Institute of Physics (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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