基于HVS视觉模型下的图像降噪  

Image De-noising Based on HVS Model

作　　者：宛田宾[1] 霍剑青[1] 王晓蒲[1] 

机构地区：[1]中国科学技术大学天文与应用物理系,合肥230026

出　　处：《数据采集与处理》2004年第3期286-291,共6页Journal of Data Acquisition and Processing

摘　　要：描述了构建人类视觉系统 ( Human vision system,HVS)降噪模型的思想方法及理论依据。为了解决Sure Shrink及 Visu Shrink方法对重建图像带来的不良影响 ,建立了基于 HVS模型的适应小波门限降噪模型 ,提出 HVSShrink降噪策略。通过对该算法进行测试和比较 。A method and ideas of how to construct human vision system (HVS) image de-noising model are introducted. To solve some bad performances to the images of SureShrink and VisuShrink, an adaptive wavelet thresholding de-noising model based on HVS is constructed and a new de-noising method HVSShrink is proposed. The test and the comparison prove that good visual perecptual de-noising image is obtained by using the method.

关 键 词：人类视觉系统 图像降噪 DWT 降噪模型 适应小波门限 软门限 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]