Error resilient image and video coding for wireless communication systems

Current techniques for coding images and video sources with resilience to channel errors can remove much of the need for complex high-redundancy channel coding and provide a graceful degradation of performance with decreasing channel quality. The main function of these error-resilient techniques is to reduce the propagation of errors within the decoded data. Two main techniques are discussed in detail: the error-resilient entropy code (EREC) and pyramid vector quantisation (PVQ). The paper concludes with a comparison of the relative merits of these systems and areas for further consideration.

[1]  J. W. Modestino,et al.  Combined Source-Channel Coding of Images , 1978, IEEE Trans. Commun..

[2]  P. Filip,et al.  A fixed-rate product pyramid vector quantization using a Bayesian model , 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

[3]  Nariman Farvardin,et al.  A study of vector quantization for noisy channels , 1990, IEEE Trans. Inf. Theory.

[4]  Mohammed Ghanbari,et al.  Two-layer coding of video signals for VBR networks , 1989, IEEE J. Sel. Areas Commun..

[5]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[6]  Teresa H. Y. Meng,et al.  Image coding using pyramid vector quantization of subband coefficients , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Lutz Arnold,et al.  Interpolative coding of images with temporally increasing resolution , 1989 .

[8]  T. Viero,et al.  3-D Median Structures for Image Sequence Filtering and Coding , 1993 .

[9]  Nick G. Kingsbury,et al.  Transcoding of MPEG-II for enhanced resilience to transmission errors , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[10]  Thomas R. Fischer,et al.  A pyramid vector quantizer , 1986, IEEE Trans. Inf. Theory.

[11]  Rosa Lancini,et al.  Video coding scheme using DCT-pyramid vector quantization , 1995, IEEE Trans. Image Process..

[12]  T. G. Campbell,et al.  3-D median based prediction of image sequence coding , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

[13]  Teresa H. Y. Meng,et al.  Error resilient pyramid vector quantization for image compression , 1994, Proceedings of 1st International Conference on Image Processing.

[14]  Nick G. Kingsbury,et al.  The ERPC: an efficient error-resilient technique for encoding positional information or sparse data , 1992, IEEE Trans. Commun..

[15]  David R. Bull,et al.  Error resilient arithmetic coding of still images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[16]  Khalid Sayood,et al.  A robust coding scheme for packet video , 1992, IEEE Trans. Commun..

[17]  Nick G. Kingsbury,et al.  The EREC: an error-resilient technique for coding variable-length blocks of data , 1996, IEEE Trans. Image Process..

[18]  David Bull,et al.  Non-linear filter banks for error-resilient image compression , 1997 .

[19]  Lajos Hanzo,et al.  Transmission of subband-coded images via mobile channels , 1993, IEEE Trans. Circuits Syst. Video Technol..

[20]  David R. Bull,et al.  Non-linear perfect reconstruction filter banks for image coding , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[21]  Nick G. Kingsbury,et al.  Still image coding for noisy channels , 1994, Proceedings of 1st International Conference on Image Processing.

[22]  David Bull,et al.  Nonlinear perfect reconstruction critically decimated filter banks , 1996 .

[23]  Robert B. Ash,et al.  Information Theory , 2020, The SAGE International Encyclopedia of Mass Media and Society.

[24]  Thomas J. Ferguson,et al.  Self-synchronizing Huffman codes , 1984, IEEE Trans. Inf. Theory.

[25]  Robert Swann.  MPEG-II video coding for noisy channels , 1997 .

[26]  Joel Max,et al.  Quantizing for minimum distortion , 1960, IRE Trans. Inf. Theory.