In this paper,we explore the wide-view infrared image enhancement algorithm.Considering the difference of background in wide view image,we divide the image into several sub-images which are enhanced respectively.At the same time,in order to maintain the space relativity between the adjacent sub-images,the image overlaps are retained.Then,each sub-image is processed using adaptive platform histogram enhancement.The sub-images enhanced are merged finally,and the image overlaps are fused by image weighted fusion method.At last we demonstrate the advantages and feasibility of the algorithm proposed in the paper by experiments.
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邵涛,夏寅辉,于繁迪,孙志亮.大视场红外图像的直方图增强算法研究[J].激光与红外,2012,42(8):965~968 SHAO Tao, XIA Yin-hui, YU Fan-di, SUN Zhi-liang. Study of histogram enhancement algorithm based on wide-view infrared image[J]. LASER & INFRARED,2012,42(8):965~968