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基于人眼视觉特性和模糊集的自适应图像增强算法
引用本文:刘金根,刘兴建,周灿,吉会云. 基于人眼视觉特性和模糊集的自适应图像增强算法[J]. 武汉理工大学学报(信息与管理工程版), 2006, 28(12): 1-3,14
作者姓名:刘金根  刘兴建  周灿  吉会云
作者单位:武汉理工大学,信息工程学院,湖北,武汉,430070
摘    要:根据人眼的视觉特性,利用梯度和差分原理相结合而产生的锐化算子处理图像,进一步提升了图像中细节丰富的区域和灰度变化平坦区域的边缘,然后结合模糊集合理论对不同的区域进行不等的灰度拉伸,提出了一种基于人眼视觉特性的自适应图像增强算法。该算法可有效地在提高图像灰度动态范围的同时,增强图像的细节和对比度。该算法兼有增强和平滑作用,在增强图像的同时,能较好地抑制噪声。

关 键 词:视觉特性  图像增强  模糊映射  渡越点
文章编号:1007-144X(2006)12-0001-03
收稿时间:2006-07-24
修稿时间:2006-07-24

An Adaptive Image Enhancement Algorithm Based on Human Visual Properties and Fuzzy Sets
Liu Jingen,Liu Xingjian,Zhou Can,Ji Huiyun. An Adaptive Image Enhancement Algorithm Based on Human Visual Properties and Fuzzy Sets[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2006, 28(12): 1-3,14
Authors:Liu Jingen  Liu Xingjian  Zhou Can  Ji Huiyun
Abstract:According to human visual properties, a sharpen operator combining grads with difference principle can process image and further enhance the details of image and the edge of regions with similar gray - levels. Then combined with fuzzy aggregation theory, the gray - levels are changed in the different regions. An adaptive image enhancement algorithm based on human visual properties and fuzzy sets is presented. The algorithm can expand the dynamic range of image and improve the detail and the contrast of image. It has the effect of enhancement and smoothness, which can enhance the image and avoid much enhancement of noise.
Keywords:visual properties   image enhancement   fuzzy mapping   crossover point
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