Image coding for noisy channels

Abstract

The concept of vector trellis quantization is presented and applied to the encoding and decoding of still images for transmission over noiseless and noisy communication channels. A design procedure for a channel-optimized vector trellis quantizer is described. The criterion used in the design procedure is the expected squared error distortion measure. Simulation results using real images and a binary symmetric channel indicate that substantial signal-to-noise ratio improvement can be achieved at low, fractional transmission rates and high bit error rates.