Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

Fast minimization methods for solving constrained total-variation superresolution image reconstruction

Language

English

Abstract

In this paper, we study the problem of reconstructing a high-resolution image from several decimated, blurred and noisy low-resolution versions of the high-resolution image. The problem can be formulated as a combination of the total variation (TV) inpainting model and the superresolution image reconstruction model. The main purpose of this paper is to develop an inexact alternating direction method for solving such constrained TV image reconstruction problem. Experimental results are given to show that the proposed algorithm is effective and efficient. © 2010 Springer Science+Business Media, LLC.

Keywords

Alternating direction methods, Constrained total-variation, Inexact computation, Superresolution image reconstruction

Publication Date

2011

Source Publication Title

Multidimensional Systems and Signal Processing

Volume

22

Issue

3-1

Start Page

259

End Page

286

Publisher

Springer Verlag

DOI

10.1007/s11045-010-0137-9

Link to Publisher's Edition

http://dx.doi.org/10.1007/s11045-010-0137-9

ISSN (print)

09236082

ISSN (electronic)

15730824

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