Title :
An unequal error protection trellis coding scheme for still image communication
Author :
Alajaji, Fady ; Al-Semari, Saud ; Burlina, Philippe
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
fDate :
29 Jun-4 Jul 1997
Abstract :
The source and channel coding functions of a communication system are usually designed independently of one another. This is justified by Shannon´s separation principle (1948), which indicates that no performance loss is suffered if the two functions are thus partitioned. However, Shannon´s theorem is an asymptotic result that permits unlimited delay and complexity; given a constraint on complexity/delay, joint source-channel coding may outperform separately designed pairs. In this work, we consider the problem of reliable communication of compressed still grey-level images over very noisy channels. An unequal error protection (UEP) joint source-channel coding scheme is proposed for transmitting discrete-cosine transform (DCT) encoded images over an additive white Gaussian noise (AWGN) channel used in conjunction with coherent M-ary phase shift keying (MPSK) modulation. More specifically, it consists of a sequence maximum a posteriori (MAP) detection scheme that exploits both the channel soft decision information and the statistical image characteristics
Keywords :
Gaussian channels; channel coding; discrete cosine transforms; error correction codes; image coding; maximum likelihood estimation; noise; phase shift keying; signal detection; source coding; telecommunication network reliability; transform coding; trellis coded modulation; visual communication; AWGN channel; MPSK modulation; Shannon´s separation principle; additive white Gaussian noise channel; channel coding; channel soft decision information; coherent M-ary phase shift keying modulation; communication system; complexity; compressed still grey-level images; delay; discrete-cosine transform encoded images; joint source-channel coding; reliable communication; sequence maximum a posteriori detection; source coding; statistical image characteristics; still image communication; unequal error protection trellis coding scheme; very noisy channels; AWGN; Additive white noise; Channel coding; Communication systems; Constraint theory; Delay; Error correction codes; Gaussian noise; Image coding; Performance loss;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613384