Title :
Joint source-channel coding of images using punctured convolutional codes and trellis-coded quantization
Author :
Channappayya, Sumohana S. ; Abousleman, Glen P. ; Karam, Lina J.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
This paper presents a wavelet-based image coder for transmission over the binary symmetric channel (BSC). The proposed coder achieves error resilience by using a joint source-channel coding strategy. The coder uses trellis-coded quantization (TCQ) for source coding, and punctured convolutional (PC) codes for channel coding. The total available bit rate is partitioned into source coding rate and channel coding rate, so as to achieve optimal performance at the given BER
Keywords :
combined source-channel coding; convolutional codes; image coding; quantisation (signal); trellis codes; wavelet transforms; binary symmetric channel; error resilience; joint source-channel coding; optimal performance; punctured convolutional codes; trellis-coded quantization; wavelet-based image coder; Bit rate; Channel coding; Convolution; Convolutional codes; Costs; Image coding; Resilience; Signal processing; Source coding; Vector quantization;
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
DOI :
10.1109/ISCAS.2001.922003
