Robust image coding using perceptually-tuned channel-optimized trellis-coded quantization
This paper presents a perceptually tuned wavelet-based image coder that is optimized for transmission over the binary symmetric channel (BSC). The proposed coder uses a channel-optimized trellis-coded quantization (COTCQ) stage that is designed to optimize the image coding based on the channel characteristics, without using any channel coding for error protection. A perceptually-tuned rate allocation scheme controls the quantization by tuning the COTCQ quantization stage to the visual masking properties of the wavelet subbands. Examples are presented to illustrate the performance of the proposed image coder.