Error concealment in JPEG2000 coded images

Amjad Bou Matar, Qurban Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In multimedia communication and data storage, compression of data is essential to speed up the transmission rate, minimize the use of channel bandwidth, and minimize storage space. The drawback of compression is that compressed data are more vulnerable to channel noise during transmission. In this work, error concealment methodology is proposed that has the ability of both error detection and concealment, and thus guarantees minimum use of channel bandwidth. The methodology requires transmission of edge information of the original image along with JPEG2000 compressed image. At the receiver, the edge information of received wavelet coefficients is computed and compared with the received edge information of the original image to determine the corrupted coefficients. Three methods of concealment, each including a filter, are investigated to handle the corrupted regions/coefficients. The simulation results conducted on test images for different values of bit error rate are presented to demonstrate the performance of the proposed approach. The objective quality measure such as peak-signal-to-noise ratio (PSNR), root-mean-square error (rms) and subjective quality measure are used to evaluate processed images.

Original languageEnglish
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages4760-4765
Number of pages6
DOIs
Publication statusPublished - 2012
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: Jul 6 2012Jul 8 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Other

Other10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/TerritoryChina
CityBeijing
Period7/6/127/8/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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