A bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts

IEEE Transactions on Image Processing

Volumn 9, Issue 7, 2000, Pages 1200-1215

  Mateos, Javier ^b   Katsaggelos, Aggelos K ^a,c   Molina, Rafael ^a,b  

^a IEEE

^b UNIVERSITY OF GRANADA   (Spain)

^c Northwestern University   (United States)

Author keywords

Bayesian models; Evidence analysis; Image coding; Post processing; Reconstruction

Indexed keywords

ALGORITHMS; COSINE TRANSFORMS; DECODING; IMAGE ANALYSIS; IMAGE CODING; IMAGE RECONSTRUCTION;

BLOCK DISCRETE COSINE TRANSFORMS (BDCT);

IMAGE COMPRESSION;

EID: 0034227494     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.847833     Document Type: Article

References (35)

1. J. Mateos, A. K. Katsaggelos, and R. Molina, "Parameter estimation in regularized reconstruction of BDCT compressed images for reducing blocking artifacts," in Proc. Conf. Digital Compression Technologies Video Communications, vol. 2952, 1996, pp. 70-81.
2. J. Mateos, R. Molina, and A. K. Katsaggelos, "Estimating and transmitting regularization parameters for reducing blocking artifacts," in Proc. 13th Int. Conf. Digital Signal Processing, 1997, pp. 209-212.
3. W. B. Pennebaker and J. L. Mitchell, JPEG Still Image Compression Standard. New York: Van Nostrand Reinhold, 1992.
4. H. C. Reeves and J. S. Lim, "Reduction of blocking effects in image coding," Opt. Eng., vol. 23, pp. 34-37, 1984.
5. G. Ramamurthi and A. Gersho, "Nonlinear space-variant postprocessing of block coded images," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, pp. 1258-1269, 1986.
6. A. Baskurt, R. Prost, and R. Goutte, "Iterative constrained restoration of DCT-compressed images," Signal Process., vol. 17, pp. 201-211, 1989.
7. K. Sauer, "Enhancement of low bit-rate coded images using edge detection and estimation," CVGIP: Graph. Models Image Process., vol. 53, pp. 52-62, 1991.
8. A. Zakhor, "Iterative procedures for reduction of blocking effects in transform image coding," IEEE Trans. Circuits Syst. Video Technol., vol. 2, pp. 91-95, 1992.
9. S. J. Reeves and S. L. Eddins, "Comments on iterative procedures for reduction of blocking effects in transform image coding," IEEE Trans. Circuits Syst. Video Technol., vol. 3, pp. 439-440, 1993.
10. Y. Yang, N. P. Galatsanos, and A. K. Katsaggelos, "Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images," IEEE Trans. Circuits Syst. Video Technol., vol. 3, pp. 421-432, 1993.
11. R. L. Stevenson, "Reduction of coding artifacts in transform image coding," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 5, 1993, pp. 401-404.
12. T. P. O'Rourke and R. L. Stevenson, "Improved image decompression for reduced transform coding artifacts," in Proc. Image Video Processing II Conf., vol. 2182, 1994, pp. 90-101.
13. _, "Improved image decompression for reduced transform coding artifacts," IEEE Trans. Circuits Syst. Video Technol., vol. 5, pp. 490-499, 1995.
14. R. L. Stevenson, "Reduction of coding artifacts in low-bit-rate video coding," in Proc. 38th Midwest Symp. Circuits Systems, 1995, pp. 854-857.
15. J. Luo, C. W. Chen, K. J. Parker, and T. S. Huang, "Artifact reduction in low bit rate DCT-based image compression," IEEE Trans. Image Processing, vol. 5, pp. 1363-1368, 1996.
16. T. Özcelik, J. C. Brailean, and A. K. Katsaggelos, "Image and video compression algorithms based on recovery techniques using mean field annealing," Proc. IEEE, vol. 83, pp. 304-316, 1995.
17. Y. Yang, N. P. Galatsanos, and A. K. Katsaggelos, "Projection-based spatially-adaptive reconstruction of block-transform compressed images," IEEE Trans. Image Processing, vol. 4, pp. 896-908, 1995.
18. H. Paek, J.-W. Park, and S.-U. Lee, "Non-iterative post-processing technique for transform coded image sequence," in Proc. Int. Conf. Image Processing, vol. 3, 1995, pp. 208-211.
19. K. Y. Kwak and R. A. Haddad, "Projection-based eigenvector decomposition for reduction of blocking artifacts of DCT coded image," in Proc. Int. Conf. Image Processing, vol. 2, 1995, pp. 527-530.
20. R. Molina, A. K. Katsaggelos, and J. Mateos, "Bayesian and regularization methods for hyperparameter estimation in image restoration," IEEE Trans. Image Processing, vol. 8, pp. 231-246, 1999.
21. R. Molina, "On the hierarchical Bayesian approach to image restoration, application to astronomical images," IEEE Trans. Pattern Anal. Machine Intell., vol. 16, pp. 1222-1228, 1994.
22. D. A. Silverstein and S. A. Klein, "Restoration of compressed images," in Proc. Image Video Compression Conf., 1994, pp. 56-64.
23. W. L. Buntine, "A theory of learning classification rules," Ph.D. dissertation, Univ. Technol., Sydney, Australia, 1991.
24. D. J. Spiegelhalter and S. L. Lauritzen, "Sequential updating of conditional probabilities on directed graphical structures," Networks, vol. 20, pp. 579-605, 1990.
25. W. L. Buntine, "Theory refinement on Bayesian networks," in Proc. 7th Conf. Uncertainty Artificial Intelligence, 1991, pp. 52-60.
26. G. F. Cooper and E. Herkovsits, "A Bayesian method for the induction of probabilistic networks from data," Mach. Learn., vol. 9, pp. 309-347, 1992.
27. D. J. C. MacKay, "A practical Bayesian framework for backprop networks," Neural Comput., vol. 4, pp. 448-472, 1992.
28. W. L. Buntine and A. Weigund, "Bayesian back-propagation," Complex Syst., vol. 5, pp. 603-644, 1991.
29. S. F. Gull, "Developments in maximum entropy data analysis," in Maximum Entropy and Bayesian Methods, J. Skilling, Ed. Cambridge, U.K.: Kluwer, 1989, pp. 53-71.
30. D. J. C. MacKay, "Bayesian interpolation," Neural Comput., vol. 4, pp. 415-447, 1992.
31. J. O. Berger, Statistical Decision Theory and Bayesian Analysis. New York: Springer-Verlag, 1985, ch. 3 and 4.
32. R. Molina and A. K. Katsaggelos, "On the hierarchical Bayesian approach to image restoration and the iterative evaluation of the regularization parameter," in Proc. Visual Communication Image Processing '94, 1994, pp. 244-251.
33. R. M. Neal, "Bayesian learning for neural networks," Ph.D. dissertation, Dept. Comput. Sci., Univ. Toronto, Toronto, Ont., Canada, 1995.
34. K. T. Lay and A. K. Katsaggelos, "Image identification and restoration based on the expectation-maximization algorithm," Opt. Eng., vol. 29, pp. 436-445, 1990.
35. S. S. O. Choy, Y.-H. Chan, and W.-C. Siu, "Reduction of block-transform image coding artifacts by using local statistics of transform coefficients," IEEE Signal Processing Lett., vol. 4, pp. 5-7, 1997.