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基于小波的迭代盲图像恢复新算法
引用本文:朱亚平,沈庭芝,白杨.基于小波的迭代盲图像恢复新算法[J].北京理工大学学报,2006,26(9):828-830.
作者姓名:朱亚平  沈庭芝  白杨
作者单位:北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081
摘    要:针对迭代盲反卷积算法中解的唯一性和收敛性不确定问题,提出了基于小波的迭代盲图像恢复新算法.该算法用基于奇异值分解和压缩滤波方法对降质图像进行预处理,在初始化估计后对图像进行小波变换,用局部高斯模型刻画图像小波系数的概率分布,并作为先验约束加入到迭代算法中.仿真结果表明,新算法在保持图像边缘特性的基础上,峰值信噪比改进量比原算法增加约3 dB,对解的唯一性和收敛性也有一定改善.

关 键 词:迭代盲反卷积  盲图像恢复  小波变换  奇异值分解
文章编号:1001-0645(2006)09-0828-04
收稿时间:2005-06-09
修稿时间:2005-06-09

Wavelet-Based Iterative Blind Deconvolution Algorithm for Image Restoration
ZHU Ya-ping,SHEN Ting-zhi and BAI Yang.Wavelet-Based Iterative Blind Deconvolution Algorithm for Image Restoration[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(9):828-830.
Authors:ZHU Ya-ping  SHEN Ting-zhi and BAI Yang
Institution:Department of Electronic Engineering, School of Information Science and Technology, Beiiing Institute of Technology, Beijing 100081, China
Abstract:To cope with the uncertainty of the solution's uniqueness and convergence in the iterative blind deconvolution(IBD) method,a novel wavelet-based iterative blind image restoration algorithm is proposed.A singular value decomposition(SVD) and compression-based filtering method is used for pretreatment,discrete wavelet transform(DWT) is made after the initial image estimate,and local Gaussian model(LGM) is used as a priori restriction added to the IBD method.Simulation results showed that,the combination of these techniques can perform better about 3?dB(P_(SNR)) than the original IBD method in recovering images,with edge information well reserved.At the same time,the uniqueness and convergence properties of IBD are improved.
Keywords:iterative blind deeonvolution  blind image restoration  wavelet transform  singular value decomposition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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