24 November 2014 Investigation on improved infrared image detail enhancement algorithm based on adaptive histogram statistical stretching and gradient filtering
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Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93011N (2014) https://doi.org/10.1117/12.2072192
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
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.
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Bangze Zeng, Bangze Zeng, Youpan Zhu, Youpan Zhu, Zemin Li, Zemin Li, Dechao Hu, Dechao Hu, Lin Luo, Lin Luo, Deli Zhao, Deli Zhao, Juan Huang, Juan Huang, } "Investigation on improved infrared image detail enhancement algorithm based on adaptive histogram statistical stretching and gradient filtering", 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; https://doi.org/10.1117/12.2072192
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