On selection of spatial-varying regularization parameters in total variation image restoration

Wai Lam Fong*, Kwok Po NG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In this paper, we consider and study total variation (TV) image restoration. The main aim of this paper is to develop a fast TV image restoration method with an automatic selection of spatial-varying regularization parameter scheme to restore blurred and noisy images. The method exploits the generalized cross-validation (GCV) technique to determine inexpensively how much regularization used in each region of an image and in each restoration step. By updating the regularization parameter in each iteration, the restored image can be obtained. Our experimental results show that the visual quality of restored images by the proposed method is very good even without prior knowledge of the original image. We will demonstrate the proposed method is also very efficient.

Original languageEnglish
Title of host publication2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011
DOIs
Publication statusPublished - 2011
Event2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011 - Poitiers, France
Duration: 5 Sep 20117 Sep 2011

Publication series

Name2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011

Conference

Conference2011 7th International Workshop on Multidimensional (nD) Systems, nDS 2011
Country/TerritoryFrance
CityPoitiers
Period5/09/117/09/11

Scopus Subject Areas

  • Control and Systems Engineering

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