基于小波变换的图像阈值去噪及其效果评估  

Image threshold de-noising based on wavelet transform and performance evaluation

作　　者：李蕴奇[1] 

机构地区：[1]吉林省经济信息中心,吉林长春130061

出　　处：《东北师大学报（自然科学版）》2012年第1期60-66,共7页Journal of Northeast Normal University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(40972059)

摘　　要：研究了小波变换理论在图像去噪方面的具体应用,并利用传统客观的效果评估指标对多种小波变换的去噪效果进行评估,同时将结构相似理论引入到效果评估体系中,仿真实验表明,该方法符合主观判断.Image de-noising is a basic problem in the field of image processing,and an important content in image enhancement.The wavelet de-noising is an internationally recognized focus in the field of image de-noising research.This paper research on the application of theory of wavelet transform adopted in de-noising,traditional objective indicators of evaluation are utilized to measure the effect of various wavelet transforms.Meanwhile,the theory of structure similarity is introduced into the assessment system,and simulation results show that the metric is consistent with the subjective judgments.

关 键 词：图像去噪 小波变换 效果评估 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]