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Optical Engineering

Robust layered image transmission based on genetic programming for noisy channels
Author(s): Wen-Jyi Hwang; Ray-Shine Lin; Chung-Kun Wu
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Paper 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.

Paper Details

Date Published: 1 February 2001
PDF: 7 pages
Opt. Eng. 40(2) doi: 10.1117/1.1323696
Published in: Optical Engineering Volume 40, Issue 2
Show Author Affiliations
Wen-Jyi Hwang, Chung Yuan Christian Univ. (Taiwan)
Ray-Shine Lin, Chung Yuan Christian Univ. (Taiwan)
Chung-Kun Wu, Chung Yuan Christian Univ. (Taiwan)


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