A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier

There are many error concealment techniques for image processing. In the paper, the focus is on restoration of image with missing blocks or macroblocks. Different methods can be optimal for different kinds of images. In recent years, great attention was dedicated to textures, and specific methods we...

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Main Authors: Z. Tothova, J. Polec
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2010-06-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2010/10_02_331_337.pdf
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author Z. Tothova
J. Polec
author_facet Z. Tothova
J. Polec
author_sort Z. Tothova
collection DOAJ
description There are many error concealment techniques for image processing. In the paper, the focus is on restoration of image with missing blocks or macroblocks. Different methods can be optimal for different kinds of images. In recent years, great attention was dedicated to textures, and specific methods were developed for their processing. Many of them use classification of textures as an integral part. It is also of an advantage to know the texture classification to select the best restoration technique. In the paper, selection based on texture classification with advanced local binary patterns and spatial distribution of dominant patterns is proposed. It is shown, that for classified textures, optimal error concealment method can be selected from predefined ones, resulting then in better restoration. For testing, three methods of extrapolation and texture synthesis were used.
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spelling doaj.art-95eb1777c6ce45ff86187ea999a531c72022-12-21T19:12:50ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122010-06-01192331337A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP ClassifierZ. TothovaJ. PolecThere are many error concealment techniques for image processing. In the paper, the focus is on restoration of image with missing blocks or macroblocks. Different methods can be optimal for different kinds of images. In recent years, great attention was dedicated to textures, and specific methods were developed for their processing. Many of them use classification of textures as an integral part. It is also of an advantage to know the texture classification to select the best restoration technique. In the paper, selection based on texture classification with advanced local binary patterns and spatial distribution of dominant patterns is proposed. It is shown, that for classified textures, optimal error concealment method can be selected from predefined ones, resulting then in better restoration. For testing, three methods of extrapolation and texture synthesis were used.www.radioeng.cz/fulltexts/2010/10_02_331_337.pdfError concealmentre-synthesisinpaintingtextureextrapolationclassification
spellingShingle Z. Tothova
J. Polec
A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
Radioengineering
Error concealment
re-synthesis
inpainting
texture
extrapolation
classification
title A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
title_full A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
title_fullStr A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
title_full_unstemmed A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
title_short A Novel Technique of Error Concealment Method Selection in Texture Images Using ALBP Classifier
title_sort novel technique of error concealment method selection in texture images using albp classifier
topic Error concealment
re-synthesis
inpainting
texture
extrapolation
classification
url http://www.radioeng.cz/fulltexts/2010/10_02_331_337.pdf
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