Adaptive entropy-coded subband coding of image sequences

A new approach to image sequence coding based on variable-rate entropy-constrained subband coding (ECSBC) is described. The corresponding practical implementation of the ECSBC scheme for fixed-rate channels is developed by extending recent adaptive entropy-coded (AEC) quantization techniques. Although the entropy-constrained design of subband coding systems provides improve coding efficiency compared to level-constrained design approaches, the resulting coding system generates variable-rate outputs which must be buffered before fixed-rate transmissions. In this case, the finite buffer, however large, that interfaces the encoder and the channel will eventually overflow or underflow, resulting in a catastrophic loss of encoder-decoder synchronism with an associated large amount of distortion. A buffer-adaptive arithmetic-coded implementation of the ECSBC scheme, called adaptive entropy-coded subband coding (ECSBC/AEC), is described to completely eliminate the associated encoder buffer overflow/underflow problems, even with a very small encoder buffer. >

[1]  James W. Modestino,et al.  Adaptive entropy-coded pruned tree-structured predictive vector quantization of images , 1993, IEEE Trans. Commun..

[2]  Cliff B. Jones An efficient coding system for long source sequences , 1981, IEEE Trans. Inf. Theory.

[3]  James W. Modestino,et al.  Analysis and further results on adaptive entropy-coded quantization , 1990, IEEE Trans. Inf. Theory.

[4]  J. D. Robbins,et al.  Motion-compensated television coding: Part I , 1979, The Bell System Technical Journal.

[5]  Nariman Farvardin,et al.  Robust adaptive buffer-instrumented entropy-coded quantization of stationary sources , 1990, IEEE Trans. Commun..

[6]  Nariman Farvardin,et al.  Adaptive buffer-instrumented entropy-coded quantizer performance for memoryless sources , 1986, IEEE Trans. Inf. Theory.

[7]  Frederick Jelinek,et al.  Buffer overflow in variable length coding of fixed rate sources , 1968, IEEE Trans. Inf. Theory.

[8]  James W. Modestino,et al.  Adaptive entropy coded subband coding of images , 1992, IEEE Trans. Image Process..

[9]  Hamid Gharavi,et al.  Subband Coding of Video Signals , 1991 .

[10]  Jan Biemond,et al.  Subband Coding of Color Images , 1991 .

[11]  Glen G. Langdon,et al.  An Introduction to Arithmetic Coding , 1984, IBM J. Res. Dev..

[12]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[13]  Nariman Farvardin,et al.  Subband Image Coding Using Entropy-Coded Quantization over Noisy Channels , 1992, IEEE J. Sel. Areas Commun..

[14]  J. W. Modestino,et al.  Adaptive entropy-coded 2-D DPCM encoding of images , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[15]  James W. Modestino,et al.  Adaptive entropy-coded predictive vector quantization of images , 1990, IEEE Trans. Signal Process..

[16]  James D. Johnston,et al.  A filter family designed for use in quadrature mirror filter banks , 1980, ICASSP.