TOTAL-VARIATION REGULARIZATION WITH BOUND CONSTRAINTS

被引：18

作者：

Chartrand, Rick ^{[1
]}

Wohlberg, Brendt ^{[1
]}

机构：

[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

Total variation; bound constraints; nonnegativity constraint; image deblurring; Abel inversion; IMAGE-RESTORATION; MINIMIZATION; RECONSTRUCTION; ALGORITHM;

D O I：

10.1109/ICASSP.2010.5494993

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We present a new algorithm for bound-constrained total-variation (TV) regularization that in comparison with its predecessors is simple, fast, and flexible. We use a splitting approach to decouple TV minimization from enforcing the constraints. Consequently, existing TV solvers can be employed with minimal alteration. This also makes the approach straightforward to generalize to any situation where TV can be applied. We consider deblurring of images with Gaussian or salt-and-pepper noise, as well as Abel inversion of radiographs with Poisson noise.

引用

页码：766 / 769

页数：4

共 22 条

[1]

[Anonymous], 1999, Athena scientific Belmont

[2] Abel inversion using total-variation regularization [J].