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《Science of Surveying and Mapping》 2012-06
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Remote sensing image enhancement by adaptive genetic algorithms optimization in the DCT domain

LI Guo①②,GONG Zhi-hui①,JIA Bo①,WEI Xiao-feng①(①Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;②Troops 65015,Liaoning Dalian 116023,China)  
The paper studied on the realization of remote sensing image enhancement by Genetic Algorithms in the DCT domain.The parameter of image enhancement in the DCT domain requires artificial setting,so it optimized the parameter with adaptive Genetic Algorithms automatically.In details,it designed a novel fitness function considering deviation index to drive evolution of Genetic Algorithms,and managed to realize remote sensing image enhancement without artificial affection and blocking artifacts by virtue of no-blocks theory in the DCT domain.The method discussed here could improve the contrast of intensity,gradient and entropy including keeping hue of remote sensing image.Besides,the method could also improve the visible effects of images as well as convenience for further image processing.
【CateGory Index】: TP751;P237
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【Citations】
Chinese Journal Full-text Database 1 Hits
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