Multi-frame compression: Theory and design

Signal Processing

Volumn 80, Issue 10, 2000, Pages 2121-2140

  Engan, Kjersti ^a   Aase, Sven Ole ^a   Husøy, John Håkon ^a  

^a UNIVERSITY OF STAVANGER   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BLOCK CODES; COSINE TRANSFORMS; IMAGE CODING; SIGNAL DISTORTION;

MEAN SQUARED ERRORS (MSE); MULTI-FRAME COMPRESSIONS (MFC);

IMAGE COMPRESSION;

EID: 0034299822     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(00)00072-4     Document Type: Article

References (24)

1. A.P. Berg, W.B. Mikhael, Signal representation using adaptive parallel mixed transform techniques, Proceedings of 38th IEEE Midwest Symposium on Circuits Systems, Rio de Janeiro, August 1995.
2. S.S. Chen, Basis pursuit, Ph.D. Thesis, Stanford University, November 1995.
3. G. Davis, Adaptive nonlinear approximations, Ph.D. Thesis, New York University, September 1994.
4. K. Engan, S.O. Aase, J.H. Husøy, Transform based ECG signal compression using nonorthogonal vectors, Proceedings of NORSIG '97, Tromsø, Norway, May 1997, pp. 140-145.
5. K. Engan, S.O. Aase, J.H. Husøy, Designing frames for matching pursuit algorithms, Proceedings of ICASSP '98, Seattle, USA, May 1998, pp. 1817-1820.
6. K. Engan, S.O. Aase, J.H. Husøy, Frame based signal compression using method of optimal directions (MOD), Proceedings of ISCAS'99, Orlando, USA, June 1999, pp. IV-I-IV-4.
7. K. Engan, S.O. Aase, J.H. Husøy, Method of optimal directions for frame design, Proceedings of ICASSP '99, Phoenix, USA, March 1999, pp. 2443-2446.
8. K. Engan, J.H. Husøy, S.O. Aase, Optimized frame design for a matching pursuit based compression scheme, Proceedings of EUSIPCO '98, Rhodos, Greece, September 1998, pp. 153-156.
9. K. Engan, J.H. Husøy, S.O. Aase, Optimized frames of variable size for use in a matching pursuit based compression scheme, Proceedings of NORSIG '98, Vigsø, Denmark, June 1998, pp. 277-280.
10. Gersho A. Vector Quantization and Signal Compression. 1992;Kluwer Academic Publishers, Boston.
11. M. Goodwin, Matching pursuit with damped sinusoids, Proceedings of ICASSP '97, Munich, April 1997, pp. 2037-2040.
12. Gorodnitsky I.F., Rao B.D. Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm. IEEE Trans. Signal Process. 45:March 1997;600-616.
13. V.K. Goyal, Quantized overcomplete expansions: analysis, synthesis and algorithms, Technical Report, Electronics research laboratory, memorandum No. UCB/ERL M95/97, July 1995.
14. V.K. Goyal, M. Vetterli, N.T. Thao, Quantization of Overcomplete Expansions, Proceedings of IEEE Data Compression Conference, Utah, March 1995, pp. 13-22.
15. Goyal V.K., Vetterli M., Thao N.T. Quantized overcomplete expansions in RN: analysis, synthesis, and algorithms. IEEE Trans. Inform. Theory. 44:January 1998;16-31.
16. Kreyszig E. Advanced Engineering Mathematics. 6th Edition:1988;Wiley, New York.
17. M.S. Lewicki, T.J. Sejnowski, Learning overcomplete representations, Neural Comput. 12 (2) (February 2000) 337-365.
18. Mallat S., Falzon F. Analysis of low bit rate image transform coding. IEEE Trans. Signal Process. 46:April 1998;1027-1042.
19. G.B. Moody, Massachusetts Institute of Technology, The MIT-BIH Arrhythmia Database CD-ROM, 2nd Edition, 1992.
20. Mikhael W.B., Berg A.P. Image representation using nonorthogonal basis images with adaptive weight optimization. IEEE Signal Process. Lett. 3(6):June 1996;165-167.
21. Natarajan B.K. Sparse approximate solutions to linear systems. SIAM J. Comput. 24:April 1995;227-234.
22. Olshausen B.A., Field D.J. Sparse coding with an overcomplete basis set: a strategy employed in V1. Vision Res. 37:1997;3311-3325.
23. B.D. Rao, Signal processing with the sparseness constraint, Proceedings of ICASSP '98, Seattle, USA, May 1998, pp. 1861-1864.
24. Vetterli M., Kovačević J. Wavelets and Subband Coding. 1995;Prentice-Hall, Englewood Cliffs.