Robust layered image transmission based on genetic programming for noisy channels

We present a novel robust layered image transmission (LIT) design algorithm for noisy channels. In the algorithm, the layered embedded zerotree wavele t (LEZW) coding technique is used to encode the images for the transmission of each layer. A new error protection allocation scheme based on genetic p rogramming is then employed to determine the degree of protection for each layer so that the average distortion of the reconstructed images after tran smission can be minimized. Simulation results show that, subject to the sam e amount of redundancy bits for error protection, the new algorithm outperf orms other existing algorithms where equal-protection schemes are adopted. (C) 2000 Society of Photo-Optical Instrumentation Engineers.