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《Laser & Infrared》 2017-01
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Infrared image enhancement algorithm based on human vision

WANG Chen;TANG Xin-yi;GAO Si-li;Shanghai Institute of Technical Physics,CAS;University of Chinese Academy of Sciences;  
Infrared images have the characteristics of low contrast,big noise,wide dynamic range and poor visual effect,etc.In order to obtain a good visual effect and improve the target detection and recognition capabilities,Retinex enhancement algorithm based on human vision was studied.Combined with imaging mechanism of infrared image,Retinex method that is suitable for the visible light image is used for infrared image enhancement,and the ideal visual effect has been gotten through this method.On this basis,an adaptive multi-scale Retinex(AMSR) method is proposed.The infrared images is enhanced by this algorithm and the objective evaluation factors are calculated,and its enhancement effect compares with those of several traditional image enhancement algorithms.The experimental results show that the AMSR algorithm has the applicability and superiority for infrared images.This study is significant to the infrared target detection and recognition.
【Fund】: 上海物证重点实验室基金(No.2011xcwzk04);; 国家“十二五”国防预研项目(No.41101050501)资助
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
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1 FU Ji-xian;LONG Wei;LI Yan-yan;School of Manufacturing Science and Engineering,Sichuan University;;Image Defogging Algorithm Based on the Valuation of the Driving Range[J];科学技术与工程;2016-27
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