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

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.