Title :
Robust image coding using perceptually-tuned channel-optimized trellis-coded quantization
Author :
Lam, Tuyet-Trang ; Karam, Lina J. ; Abousleman, Glen P.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
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
Keywords :
discrete wavelet transforms; image coding; quantisation (signal); rate distortion theory; source coding; transform coding; trellis codes; DWT; MSE based scheme; binary symmetric channel; channel-optimized trellis-coded quantization; perceptually tuned wavelet-based image coder; rate allocation scheme; rate-distortion performance; robust image coding; source coder; visual masking properties; wavelet subbands; Channel coding; Costs; Degradation; Delay effects; Image coding; Image reconstruction; Protection; Quantization; Robustness; Working environment noise;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867836
