Error Concealment using Neural Networks for Block-Based Image Coding

Thumbnail Image
Files
06_02_30_36.pdf(1.17 MB)
Date
2006-06
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
In this paper, a novel adaptive error concealment (EC) algorithm, which lowers the requirements for channel coding, is proposed. It conceals errors in block-based image coding systems by using neural network. In this proposed algorithm, only the intra-frame information is used for reconstruction of the image with separated damaged blocks. The information of pixels surrounding a damaged block is used to recover the errors using the neural network models. Computer simulation results show that the visual quality and the MSE evaluation of a reconstructed image are significantly improved using the proposed EC algorithm. We propose also a simple non-neural approach for comparison.
Description
Keywords
Block-based image coding, error concealment, image restoration multilayer perceptron, radial basis function network, mobile radio channels
Citation
Radioengineering. 2006, vol. 15, č. 2, s. 30-36. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2006/06_02_30_36.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
DOI
URI
http://hdl.handle.net/11012/57952
Collections
2006/2
Citace PRO