Selective error detection for error-resilient wavelet-based image coding

Lina Karam, Tuyet Trang Lam

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

This paper introduces the concept of a similarity check function for error-resilient multimedia data transmission. The proposed similarity check function provides information about the effects of corrupted data on the quality of the reconstructed image. The degree of data corruption is measured by the similarity check function at the receiver, without explicit knowledge of the original source data. The design of a perceptual similarity check function is presented for wavelet-based coders such as the JPEG2000 standard, and used with a proposed "progressive similarity-based ARQ" (ProS-ARQ) scheme to significantly decrease the retransmission rate of corrupted data while maintaining very good visual quality of images transmitted over noisy channels. Simulation results with JPEG2000-coded images transmitted over the Binary Symmetric Channel, show that the proposed ProS-ARQ scheme significantly reduces the number of retransmissions as compared to conventional ARQ-based schemes. The presented results also show that, for the same number of retransmitted data packets, the proposed ProS-ARQ scheme can achieve significantly higher PSNR and better visual quality as compared to the selective-repeat ARQ scheme.

Original languageEnglish (US)
Pages (from-to)2936-2942
Number of pages7
JournalIEEE Transactions on Image Processing
Volume16
Issue number12
DOIs
StatePublished - Dec 2007

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Keywords

  • Binary symmetric channel
  • Data retransmission
  • Error detection
  • Image transmission
  • Perception

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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