基于对数图像处理和二阶微分的图像增强新模型  

A New Image Enhancement Model Based on Logarithmic Image Processing and a Second-Order Differential

作　　者：蒋伟[1,2] 胡学刚[1] 

机构地区：[1]重庆邮电大学数理学院,重庆400065 [2]重庆交通大学理学院,重庆400074

出　　处：《西南大学学报（自然科学版）》2009年第9期142-146,共5页Journal of Southwest University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(10571126);国家博士后科学基金(20060401018);重庆市科委自然科学基金资助项目(CSTC2007BB2450;CSTC2009BB2375);重庆交通大学校内科学基金课题资助项目(2008L-05)

摘　　要：以对数图像处理数学模型为基础,结合Laplacian图像增强方法,将增强处理后得到的图像和原图像进行适当的加权平均,提出了一种基于对数图像处理和二阶微分的图像增强新模型.该模型具有与人眼视觉特征相吻合的特点,在增强图像高频分量的同时,平滑图像低频分量,控制增强和平滑的比例,达到了图像增强的目的.理论分析和实验结果表明,该模型减小了图像在增强处理迭代过程中产生的误差,是一种比较有效的图像增强方法.A new image enhancement model is proposed, which is based on Logarithmic Image Processing （LIP） mathematic model and combined with Laplacian image enhancement method, with its image enhanced by linear combination of original image and its processing image. The model is consistent with some characteristics of human brightness perception. The model proposed above not only enhances the high-fre- quency component, but also smoothens the low-frequency component, and it can control proportion in the process of enhancing and smoothening, thus achieving the goal of image enhancement. Both theory analysis and simulation show that errors which influence the effect of enhancement are reduced effectively. Therefore, it is an efficient method of image enhancement.

关 键 词：图像增强 微分算子 对数图像处理模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]