基于人眼视觉特性的邻域自适应模糊增强算法  

A neighborhood adaptive fuzzy enhancement algorithm based on human visual properties

作　　者：冷寒冰[1] 王先[1] 刘上乾[1] 

机构地区：[1]西安电子科技大学技术物理学院503室,陕西西安710071

出　　处：《光电工程》2004年第1期62-64,68,共4页Opto-Electronic Engineering

摘　　要：针对灰度适中时人眼分辨力较强的视觉特性,利用Prewitt算子求得梯度图像,并在隶属函数的定义中引入像素的邻域均值分量,对梯度图像进行模糊域的自适应增强。实验证明该算法克服了传统模糊增强算法会对噪声点进行增强的缺点,在增强图像细节的同时有效地抑制了图像的噪声。In view of the visual property that human eye has more powerful resolution when gray scale is moderate, gradient image is obtained by using Prewitt algorithm, and adaptive enhancement for gradient image of the fuzzy neighborhood is carried out by introduction of neighborhood average component of pixel into the definition subordinate to function. Experiments demonstrate that the algorithm has overcome the fault of the traditional fuzzy enhancement algorithm that enhances noise point. During enhancing details of image, simultaneously it can effectively inhibit image noise.

关 键 词：图像增强 自适应增强 人眼 视觉特性 图像消模糊 领域自适应 噪声 

分 类 号：TN911.73[电子电信—通信与信息系统]