| 基于图像局部方差分布的自适应反锐化掩模算法 |
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| 引用本文： | 刘明坤,龙奕,尹忠科. 基于图像局部方差分布的自适应反锐化掩模算法[J]. 贵州大学学报(自然科学版), 2009, 26(1): 51-54 |
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| 作者姓名： | 刘明坤 龙奕 尹忠科 |
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| 作者单位： | 贵州大学,教务处,贵州,贵阳,550003;贵州大学,电气工程学院,贵州,贵阳,550003;西南交通大学,信息科学与技术学院,四川,成都,610031;西南交通大学,信息科学与技术学院,四川,成都,610031 |
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| 基金项目： | 四川省应用基础研究项目 |
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| 摘 要： | 针对现有反锐化掩模法中的缺点,分析了人类的视觉特点。根据图像细节分区原理,利用试验参数和具体图像的局部方差分布获取图像修正因子增益,提出了一种有效的图像增强算法一基于图像局部方差分布的反锐化掩模算法。该算法从人类视觉特点出发同时兼顾具体图像的局部方差分布特征。
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| 关 键 词： | 图像增强 反锐化掩模 局部方差 |
An Adaptive Algorithm for Image Enhancement on Unsharp Masking |
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| LIU Ming-kun,LONG Yi,YIN Zhong-ke. An Adaptive Algorithm for Image Enhancement on Unsharp Masking[J]. Journal of Guizhou University(Natural Science), 2009, 26(1): 51-54 |
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| Authors: | LIU Ming-kun LONG Yi YIN Zhong-ke |
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| Affiliation: | 1.Teaching Affairs Office;Guizhou University;Guiyang 550003;China;2.School of Electrical Engineering;3.School of Information Science & Technology;Southwest Jiaotong University;Chengdu 610031;China |
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| Abstract: | A new simple efficient algorithm for image enhancement is presented in order to avoid the drawbacks that have occurred in the present unsharp masking （UM） technique--the high detail areas and noise of the image being enhanced together and the overshoot artifacts. This approach employs the differed scaling factor to enhance the detail areas and suppress the noise based on human visual propertiesl experimental and avoid big quantified noise using multi - slopes line. Experimental results show the algorithm presented in this paper is a competing techniques in which image visual impression is good and the algorithms is simple. |
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| Keywords: | image enhancement unsharp masking local dynamics |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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