Rotational image deblurring with sparse matrices

被引：7

作者：

Hansen, Per Christian ^{[1
]}

Nagy, James G. ^{[2
]}

Tigkos, Konstantinos ^{[3
]}

机构：

[1] Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Lyngby, Denmark

[2] Emory Univ, Dept Math & Comp Sci, Atlanta, GA 30322 USA

[3] Fraunhofer Inst Integrated Circuits, D-91058 Erlangen, Germany

来源：

BIT NUMERICAL MATHEMATICS | 2014年 / 54卷 / 03期

基金：

美国国家科学基金会;

关键词：

Image deblurring; Iterative algorithms; Stopping rules; Sparse matrices; Boundary conditions; PET BRAIN IMAGES; MOTION CORRECTION; PARAMETER CHOICE; STOPPING RULE; RESTORATION;

D O I：

10.1007/s10543-013-0464-y

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We describe iterative deblurring algorithms that can handle blur caused by a rotation along an arbitrary axis (including the common case of pure rotation). Our algorithms use a sparse-matrix representation of the blurring operation, which allows us to easily handle several different boundary conditions. We also include robust stopping rules for the iterations. The performance of our algorithms is illustrated with examples.

引用

页码：649 / 671

页数：23

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