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Image restoration using 2D autoregressive texture model and structure curve construction

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationMobile Multimedia/Image Processing, Security, and Applications 2015
EditorsSS Agaian, SA Jassim, EY Du
Place of PublicationBELLINGHAM
PublisherSPIE
Number of pages11
DOIs
Publication statusPublished - 2015
Publication typeA4 Article in a conference publication
EventConference on Mobile Multimedia/Image Processing, Security, and Applications - Baltimore, Moldova, Republic of
Duration: 20 Apr 201521 Apr 2015

Publication series

NameProceedings of SPIE
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Volume9497
ISSN (Print)0277-786X

Conference

ConferenceConference on Mobile Multimedia/Image Processing, Security, and Applications
CountryMoldova, Republic of
Period20/04/1521/04/15

Abstract

In this paper an image inpainting approach based on the construction of a composite curve for the restoration of the edges of objects in an image using the concepts of parametric and geometric continuity is presented. It is shown that this approach allows to restore the curved edges and provide more flexibility for curve design in damaged image by interpolating the boundaries of objects by cubic splines. After edge restoration stage, a texture restoration using 2D autoregressive texture model is carried out. The image intensity is locally modeled by a first spatial autoregressive model with support in a strongly causal prediction region on the plane. Model parameters are estimated by Yule-Walker method. Several examples considered in this paper show the effectiveness of the proposed approach for large objects removal as well as recovery of small regions on several test images.

Keywords

  • image inpainting, edge reconstruction, spline interpolation, texture synthesis, autoregressive model

Publication forum classification

Field of science, Statistics Finland