A Finite Adaptive Neighborhood Suppression Algorithm Based on Singular Value Decomposition

作者：Wang Weijie; Ren Kan^*; Gu Guohua; Chen Qian

来源：International Conference on Optical and Photonics Engineering (icOPEN), 2016-09-26 To 2016-09-30.

DOI：10.1117/12.2266702

• small target
• singular value
• contrast enhancement
• suppression

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.

• 出版日期2017
• 单位南京理工大学