%0 Journal Article
%T Self-adaptive image enhancement method based on extended Beta function<br>基于广义Beta函数的图像自适应增强方法*
%A SUN Di-hua
%A ZHANG Lu
%A ZHAO Min
%A YANG Shu-hong
%A YE Taoa
%A <br>孙棣华
%A 张路
%A 赵敏
%A 阳树洪
%A 叶涛a
%J 计算机应用研究
%D 2011
%I 
%X Aiming at the shortcoming of image enhancement method based on traditional function when applied in the sketching of dark area, bright area and areas at both ends as well as the compressing of centre area, this paper presented a novel histogram transforming function, i.e. extended Beta function, by introducing enhancement operator and new shape-controlling parameters. On this basis, put forward the selection mechanism of enhancement operator of extended Beta, and established the self-adaptive selection model of the new shape-controlling parameters. The experimental results show that the contrast of image is improved as well as the details of image is retained by the presented method with obviously better performance than traditio-nal Beta function.
%K image contrast-enhancement
%K transforming function
%K quantum genetic algorithm
%K histogram<br>图像对比度增强
%K 变换函数
%K 量子遗传算法
%K 直方图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=039278FEE09854C51608B0D0C0B0B853&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=92251EF331D78344&eid=55A248CBE4A8A7C2&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11