Robust layered image transmission based on genetic programming for noisy channels

Wen-Jyi Hwang, R. S. Lin, C. K. Wu

Research output: Contribution to journalArticle

Abstract

We present a novel robust layered image transmission (LIT) design algorithm for noisy channels. In the algorithm, the layered embedded zerotree wavelet (LEZW) coding technique is used to encode the images for the transmission of each layer. A new error protection allocation scheme based on genetic programming is then employed to determine the degree of protection for each layer so that the average distortion of the reconstructed images after transmission can be minimized. Simulation results show that, subject to the same amount of redundancy bits for error protection, the new algorithm outperforms other existing algorithms where equal-protection schemes are adopted.

Original languageEnglish
Pages (from-to)245-251
Number of pages7
JournalOptical Engineering
Volume40
Issue number2
DOIs
Publication statusPublished - 2001 Feb 1

Keywords

  • Genetic algorithm
  • Image transmission
  • Reed-Solomon codes
  • Wavelet transform

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Fingerprint Dive into the research topics of 'Robust layered image transmission based on genetic programming for noisy channels'. Together they form a unique fingerprint.

  • Cite this