10 February 2017 A finite adaptive neighborhood suppression algorithm based on singular value decomposition
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Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102500L (2017) https://doi.org/10.1117/12.2266702
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China
Abstract
This paper proposes a finite adaptive neighborhood suppression algorithm based on singular value decomposition for small target detection in the infrared imaging system. The algorithm firstly does singular value decomposition on the whole gray image, selecting the larger singular values to reconstruct the image and achieving the purpose of noise suppression, thereby obtaining the image matrix contains only weak point of the target and its possible. Then, the pixels are divided into foreground and background in the fixed neighborhood followed by contrast enhancement. Experimental results show that this method can effectively preserve image details and the inhibiting effect is better.
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Weijie Wang, Weijie Wang, Kan Ren, Kan Ren, Guohua Gu, Guohua Gu, Qian Chen, Qian Chen, } "A finite adaptive neighborhood suppression algorithm based on singular value decomposition", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102500L (10 February 2017); doi: 10.1117/12.2266702; https://doi.org/10.1117/12.2266702
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