A blind image restoration system using higher-order statistics and radon transform

被引：2

作者：

Ibrahim, MA ^{[1
]}

Hussein, AWF ^{[1
]}

Mashali, SA ^{[1
]}

Mohamed, AH ^{[1
]}

机构：

[1] Elect Res Inst, Comp & Syst Dept, Cairo, Egypt

来源：

ADVANCES IN OPTICAL INFORMATION PROCESSING VIII | 1998年 / 3388卷

关键词：

image restoration; blind deconvolution; higher-order statistics; and radon transform;

D O I：

10.1117/12.319424

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We propose a complete system of blind image restoration. We have no restrictions about the blurring filter causing degradation to the original image (e.g., zero or linear phase filter). The blurring filter estimation part of this system consists of two main steps: the mapping of the blurred image into the Radon transform domain, and the blind blur identification in this domain. The mapping simplifies the computational complexity associated with our system from 2-D to 1-D domain. The blind blur identification is based on a modified optimization method which uses cumulants in the estimation of the filter coefficients. The deconvolution step is based on a least squares optimization method. Singular value decomposition (SVD) technique is used in improving the optimization process in the estimation and deconvolution steps. Finally, the inverse Radon transform is computed to get the estimated restored image.

引用

页码：173 / 181

页数：9