Two error resilient coding schemes for wavelet-based image transmission based on data embedding and genetic algorithms

Li Wei Kang, Jin Jang Leou*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

For an entropy-coded wavelet-based image, such as a JPEG-2000 image, a transmission error in a codeword will not only affect the underlying codeword but may also affect subsequent codewords, resulting in a great degradation of the received image. In this study, two error resilient coding schemes for wavelet-based image transmission based on data embedding and genetic algorithms (GA's) are proposed. In this study, using JPEG-2000, an image is decomposed into six wavelet levels (levels 0-5). At the encoder, for levels 0-2, some important data useful for error concealment performed at the decoder are extracted and embedded into the compressed JPEG-2000 image bitstream. At the decoder, the important (embedded) data for each corrupted code block are extracted and used to facilitate error concealment. For levels 3-5, the wavelet coefficients of each corrupted code block are simply replaced by zeros. Based on the simulation results obtained in this study, the performances of the two proposed schemes are better than those of three comparison approaches, namely, the Zero-S, Mean-S, and Inter approaches. The proposed schemes can recover high-quality wavelet-based JPEG-2000 images from the corresponding corrupted images up to a bit error rate of 0.5%.

Original languageEnglish
Pages (from-to)1127-1144
Number of pages18
JournalJournal of Visual Communication and Image Representation
Volume17
Issue number6
DOIs
Publication statusPublished - 2006 Dec
Externally publishedYes

Keywords

  • Data embedding
  • Error concealment
  • Error resilient coding
  • JPEG-2000 image
  • Wavelet-based image

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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