首页 | 本学科首页   官方微博 | 高级检索  
     

基于Bivariate模型的非抽取小波域图像复原
引用本文:程村. 基于Bivariate模型的非抽取小波域图像复原[J]. 计算机工程与应用, 2007, 43(27): 100-104
作者姓名:程村
作者单位:北京工商大学,数理系,高等数学教研室,北京,100037
摘    要:将Bivariate模型引入到图像复原中,以Bivariate概率分布函数作为自然图像小波系数向量的先验模型。从图像复原的Bayesian理论出发,提出基于Bivariate概率分布函数非抽取小波域的图像复原算法,并从自适应规整化的角度来分析该算法的有效性。通过对4幅标准测试图像复原实验,并将该算法复原结果与其他3种人们熟知的图像复原算法效果进行对比来证明该算法的有效性。

关 键 词:Bivariate概率分布函数  图像复原  非抽取小波变换  共轭梯度法
文章编号:1002-8331(2007)27-0100-05
修稿时间:2007-01-01

Bivariate model based image restoration in un-decimated wavelet domain
CHENG Cun. Bivariate model based image restoration in un-decimated wavelet domain[J]. Computer Engineering and Applications, 2007, 43(27): 100-104
Authors:CHENG Cun
Affiliation:Department of Mathematics and Physics,Beijing Technology and Business University,Beijing 100037,China
Abstract:Regards the Bivairate Probability Distribution Function(PDF) as the apriori distribution of wavelet transform coefficients of natural images,and proposes an image restoration algorithm based on Bivariate distributions of un-decimated wavelet domain from the view of Bayesian theory.Discusses this restoration algorithm from the view of local adaptive regularization.At last,verifies this algorithm through performing experiments with four standard testing images and comparing with other some well-known restoration algorithms.
Keywords:Biavariate Probability Distribution Function  image restoration  un-decimated wavelet transform  conjugate gradient method
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号