《计算机应用研究》|Application Research of Computers

基于广义Beta函数的图像自适应增强方法

Self-adaptive image enhancement method based on extended Beta function

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作者 孙棣华,张路,赵敏,阳树洪,叶涛
机构 重庆大学a.自动化学院;b.计算机学院,重庆 400030
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文章编号 1001-3695(2011)12-4742-04
DOI 10.3969/j.issn.1001-3695.2011.12.091
摘要 针对传统Beta函数的图像增强方法应用于较暗区域、较亮区域,以及两端区域拉伸与中间压缩图像增强中的不足,引入增强算子和新的形状控制参数,提出了新的直方图变换函数,即广义Beta函数。在此基础上,给出了广义Beta函数增强算子选择机制,并建立了新形状控制参数的自适应选取模型。实验结果表明,提出的基于广义Beta函数的图像增强方法不仅增强了图像的对比度,而且保留了较多的图像细节信息,增强结果明显优于传统Beta函数。
关键词 图像对比度增强;变换函数;量子遗传算法;直方图
基金项目 国家“863”高技术研究发展计划资助项目(2006AA04A124)
国家教育部博士点专项基金资助项目(20090191110022)
本文URL http://www.arocmag.com/article/1001-3695(2011)12-4742-04.html
英文标题 Self-adaptive image enhancement method based on extended Beta function
作者英文名 SUN Di-hua, ZHANG Lu, ZHAO Min, YANG Shu-hong, YE Tao
机构英文名 a. College of Automation, b. College of Computer, Chongqing University, Chongqing 400030, China
英文摘要 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.
英文关键词 image contrast-enhancement; transforming function; quantum genetic algorithm; histogram
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