Robust layered image transmission based on genetic programming for noisy channels

Wen-Jyi Hwang; Ray-Shine Lin; Chung-Kun Wu

doi:10.1117/1.1323696

1 February 2001 Robust layered image transmission based on genetic programming for noisy channels

Wen-Jyi Hwang, Ray-Shine Lin, Chung-Kun Wu

Optical Engineering, Vol. 40, Issue 2, (February 2001). https://doi.org/10.1117/1.1323696

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.

©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Wen-Jyi Hwang, Ray-Shine Lin, and Chung-Kun Wu "Robust layered image transmission based on genetic programming for noisy channels," Optical Engineering 40(2), (1 February 2001). https://doi.org/10.1117/1.1323696

Published: 1 February 2001

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KEYWORDS

Computer programming

Image transmission

Genetics

Genetic algorithms

Remote sensing

Image resolution

Wavelets

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