Enhanced Image Coding for Noisy Channels

This paper explores the application of a combined error resilient coding scheme to image transmission over time-varying noisy channels. To improve performance at low signal-to-noise ratios, turbo coding is incorporated into the system. Demonstrated through simulations, this novel combination of source and channel coding is shown to correct and restrict errors incurred during transmission over Additive White Gaussian Noise (AWGN) and Rayleigh Fading channels. The error correcting capability of the coding scheme also illustrated with compressed and uncompressed image transmission results which are comparable in terms of their visual quality.