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《Journal of Yanshan University》 2009-06
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Dynamic partition image enhancement algorithm induced by optimal adaptive histogram specification function

HU Zheng-ping, LIU Bo (College of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China)  
Existed histogram specification technology has two drawbacks although it makes the enhanced image have a high contrast. It could not adaptively construct an optimal histogram mapping function which can emphasize the characteristics of original histogram, usually need to define by user, so the effect of enhancement is difficult to control. In addition, the enhanced object lacks purpose, and it is difficult to meet the special requirements such as the region of interest. To solve this problems, dynamic partition image enhancement algorithm induced by optimal adaptive histogram specification function is proposed in this paper. First images are separated by analyzing the image histogram, according to the interested in gray range confirm each sub-level gray range of mapping. Then sub-level histogram is used to adaptively construct a desired histogram which can emphasize the characteristics of sub-level histogram, and histogram specification algorithm is adopted to construct gray transfer function, then sub-level gray is mapped to the appointed range. Finally the enhancement result of sub-level is synthesized to obtain the last enhancement image. The experimental results demonstrate that dynamic partition image enhancement algorithm induced by optimal adaptive histogram specification function not only can adaptively construct a optimal desired histogram which can emphasize the characteristics of original histogram, but also can control the region of interested. This proposed algorithm makes the enhancement image have a more reasonable visual effect.
【Fund】: 河北省自然科学基金资助项目(F2008000891);; 中国博士后科学基金资助项目(20080440124)
【CateGory Index】: TP391.41
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