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The non linear enhance image for low illumination aerial based on multi-scale Retinex

YANG Guopeng;ZHOU Xin;CHEN Dong;GUO Fusheng;HU Changmiao;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing of Wuhan University;Troops 95899;TH Satellite Center of China;Department of Non-commissioned Officer,The Academy of Equipment Command and Technology;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;  
In order to solve the problem of low luminance and low contrast in low illumination aerial remote sensing image,which is difficult to interpret accurately in shadow area,a new method of nonlinear enhanced image based on multi-scale Retinex is proposed.This method adopt recursive iteration to improve the processing speed of Gaussian filter,applying the gray-scale extreme value to remove linear stretching to keep the original details as much as possible,using dynamic range adjusting factor to control the output image contrast.The experimental results show that the value change of the important parameters,such as gray-scale extremum ratio,dynamic range regulation factor and maximum surrounding scale,influence the processing of image.In this paper,the suitable range of the three parameters is given,and the interpretation effect of low illumination aerial remote sensing image is improved effectively.
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