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Image completion based on statistical texture analysis

Image completion is an active subject in image and video processing, which deals with the recovery of original data. Most previous image completion techniques required extensive searches to find the most suited texture to repair the damaged area. In addition, visual artifacts tend to appear when the...

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Main Authors: Zarif, S., Faye, I., Rohaya, D.
Format: Article
Published: SPIE 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924145145&doi=10.1117%2f1.JEI.24.1.013032&partnerID=40&md5=50e94a5a3fed2596257b3a40ef4ac540
http://eprints.utp.edu.my/26123/
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spelling my.utp.eprints.261232021-08-30T08:52:55Z Image completion based on statistical texture analysis Zarif, S. Faye, I. Rohaya, D. Image completion is an active subject in image and video processing, which deals with the recovery of original data. Most previous image completion techniques required extensive searches to find the most suited texture to repair the damaged area. In addition, visual artifacts tend to appear when the damaged area is large. We present a fast texture synthesis and image completion method that does not require an extensive search process. The proposed method is based on gray-level co-occurrence matrix and weighted two-side hole filling. The method gives high quality results compared with state-of-the-art methods. It reduces the time from hundreds of seconds to a few milliseconds and is able to repair large damaged areas without artifacts or shadows. © 2015 SPIE and IS&T. SPIE 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924145145&doi=10.1117%2f1.JEI.24.1.013032&partnerID=40&md5=50e94a5a3fed2596257b3a40ef4ac540 Zarif, S. and Faye, I. and Rohaya, D. (2015) Image completion based on statistical texture analysis. Journal of Electronic Imaging, 24 (1). http://eprints.utp.edu.my/26123/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Image completion is an active subject in image and video processing, which deals with the recovery of original data. Most previous image completion techniques required extensive searches to find the most suited texture to repair the damaged area. In addition, visual artifacts tend to appear when the damaged area is large. We present a fast texture synthesis and image completion method that does not require an extensive search process. The proposed method is based on gray-level co-occurrence matrix and weighted two-side hole filling. The method gives high quality results compared with state-of-the-art methods. It reduces the time from hundreds of seconds to a few milliseconds and is able to repair large damaged areas without artifacts or shadows. © 2015 SPIE and IS&T.
format Article
author Zarif, S.
Faye, I.
Rohaya, D.
spellingShingle Zarif, S.
Faye, I.
Rohaya, D.
Image completion based on statistical texture analysis
author_facet Zarif, S.
Faye, I.
Rohaya, D.
author_sort Zarif, S.
title Image completion based on statistical texture analysis
title_short Image completion based on statistical texture analysis
title_full Image completion based on statistical texture analysis
title_fullStr Image completion based on statistical texture analysis
title_full_unstemmed Image completion based on statistical texture analysis
title_sort image completion based on statistical texture analysis
publisher SPIE
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924145145&doi=10.1117%2f1.JEI.24.1.013032&partnerID=40&md5=50e94a5a3fed2596257b3a40ef4ac540
http://eprints.utp.edu.my/26123/
_version_ 1738656826979778560
score 13.211869

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