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《Opto-Electronic Engineering》 2007-12
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Image enhancement method of small target in strong light level background

PENG Gang1, 2,ZHANG Qi-heng2,LIU Ze-jin1,LU Gang2 ( 1. Department of Thotoelectricity Science and Engineering Project, National Univesity of Defence Technology, Changsha, Changsha 410073, China; 2. The Institute of Optics and Electronics, the Chinese Academy of Sicences, Chengdu, Chengdu 610209, China )  
An algorithm for image enhancement of small target in strong light level background is proposed in this paper. After analyzing the characters of choosing parameters for incomplete Beta’s function, the reasons of the jumpiness for α and β’ s value which Tubbs use to estimate the transformation in the condition of the exceedingly bright or dark original image are founded. It is explained that their changes are continuous. Then, the processing way for solving their best value by simulated annealing algorithm is given. So the optimum corresponding transformation curve is obtained, and the aim of the original picture’s self-adaptive enhancement is achieved. Furthermore,by using the way of images stream based on adding three continuous frames, the small target energy is enhanced and the noise energy is smoothed down .The experimental results show that the method can enhance effectively small target images in strong light level background.
【Fund】: 国防预研基金资助项目
【CateGory Index】: TP391.41
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【References】
Chinese Journal Full-text Database 1 Hits
1 CHEN Xue-tang,ZHANG Yuan,YANG Kun-ping,CHEN De-min(College of Inforfation Science and Engineering,Henan University of Technology,Zhengzhou 450001,China);Testing-image enhancement based on Ⅱ Curvelet algorithm[J];Transducer and Microsystem Technologies;2008-12
【Citations】
Chinese Journal Full-text Database 2 Hits
1 Zhang Xinman,Han Jiuqiang (School of Electronics and Information Engineering,  Xi′an Jiaotong University, Xi′an  710049, China);Image Fusion of Multiscale Contrast Pyramid-Based Vision Feature and Its Performance Evaluation[J];Journal of Xi'an Jiaotong University;2004-04
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【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 LV Xiao-qi1,TAO Yong-peng1,2(1.Information Engineering School,Inner Mongolia University of Science and Technology,Baotou 014010,China;2.Software College,Dalian University of Foreign Languages,Dalian 116023,China);A fast method of edge matching based on wavelet transform[J];Journal of Inner Mongolia University of Science and Technology;2007-04
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【Co-references】
Chinese Journal Full-text Database 4 Hits
1 WANG Wen-bo , YI Xu-ming, FEI Pu-sheng (School of Mathematics and Statistics,Wuhan University,Wuhan 430072,China);An Image Denoising Method Based on the Relativity of the Curvelet Coefficients[J];Journal of Optoelectronics.laser;2006-12
2 ZHANG Qiang,GUO Bao-long(Institute of Intelligent Control and Image Engineering,School of Electromechanical Engineering,Xidian University,Xi'an 710071,China);Fusion of remote sensing images based on the second generation Curvelet transform[J];Optics and Precision Engineering;2007-07
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【Secondary Citations】
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