Progressive image transmission over a noisy channel using wavelet transform and channel optimized vector quantization

被引：0

作者：

Pérez-Córdoba, JL ^{[1
]}

Ruiz, VG ^{[1
]}

García, I ^{[1
]}

机构：

[1] Univ Granada, Dpto Elect & Tecn Computadores, Granada 18071, Spain

来源：

2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies a progressive image transmission technique over waveform channels. The Channel Optimized Vector Quantization codec (COVQ) [1] is applied to the image wavelet coefficients creating a robust progressive image transmission technique that mitigates the effects of a noisy channel on the reconstructed image. In order to evaluate the performance of our proposal, a Gaussian and slow-fading Rayleigh channel model, with several different values of Channel Signal to Noise Ratio (CSNR) were simulated in our experiments. Examples show a significant visual improvement of our application compared to other progressive image transmission techniques.

引用

页码：725 / 728

页数：4

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