Spatial error concealment with sequence-aligned texture modeling and adaptive directional recovery
Journal article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Kumwilaisak W., Jay Kuo C.-C.
Publisher: Elsevier
Publication year: 2011
Journal: Journal of Visual Communication and Image Representation (1047-3203)
Volume number: 22
Issue number: 2
Start page: 164
End page: 177
Number of pages: 14
ISSN: 1047-3203
eISSN: 1095-9076
Languages: English-Great Britain (EN-GB)
View in Web of Science | View on publisher site | View citing articles in Web of Science
Abstract
A spatial error concealment technique based on the sequence-aligned texture modeling and the adaptive directional recovery is proposed in this work. The sequence alignment technique captures the local variation and the global trend of image textures with surrounding uncorrupted pixels, and provides the best texture model under a given cost function. With the derived texture model, geometric interpolation is used to recover lost pixels adaptively based on pixel locations. There are four candidate modes of pixel sequences to recover lost pixels, and one of them is selected for the concealment purpose. The selection criterion is based on the texture pattern modes of surrounding uncorrupted blocks. The pixel sequences used for error concealment can be obtained from the computation of the decoder or the side information from the encoder. Extensive experimental results are given to demonstrate that our error concealment technique outperforms several benchmark methods in both objective and subjective tests. ฉ 2010 Elsevier Inc. All rights reserved.
Keywords
Correspondence association, Directional recovery, Geometric interpolation, Global pixel alignment, Local pixel alignment, Peak-signal-to-noise ratio, Spatial error concealment, Texture pattern mode
Contact Information