Shape-adaptive DCT for denoising and image reconstruction

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6064, Issue , 2006, Pages

  Foi, Alessandro ^a   Dabov, Kostadin ^a   Katkovnik, Vladimir ^a   Egiazarian, Karen ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Anisotropic; DCT; Deblurring; Deconvolution; Denoising; Restoration; Transforms, shape adaptive

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CORRELATION METHODS; IMAGE COMPRESSION; PROBLEM SOLVING; STATISTICAL METHODS;

ANISOTROPIC; DCT; DEBLURRING; DECONVOLUTION; DENOISING; TRANSFORMS, SHAPE-ADAPTIVE;

IMAGE RECONSTRUCTION;

EID: 33645653842     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.642839     Document Type: Conference Paper

References (31)

1. Bi, M., S.H. Ong, and Y.H. Ang, "Comment on Shape-Adaptive DCT for generic coding of video", IEEE Trans. Circuits and Systems for Video Technology, vol. 6. no. 6, pp. 686-688, December 1996.
2. Cho, D., and T.D. Bui, "Multivariate statistical modeling for image denoising using wavelet transforms", Signal Processing: Image Communications, vol. 20, no. 1, pp. 77-89, January 2005.
3. Dias, J.M.B., "Fast GEM wavelet-based image deconvolution algorithm", Proc. Int. Conf. Image Process., ICIP 2003, vol. 2, 2003.
4. Figueiredo, M.A.T., and R.D. Nowak, "An EM algorithm for wavelet-based image restoration", IEEE Trans. Image Process., vol. 12, no. 8, pp. 906-916, 2003.
5. Figueiredo, M.A.T., and R.D. Nowak, "A bound optimization approach to wavelet-based image deconvolution", Proc. IEEE 2005 Int. Conf. Image Process., ICIP 2005, vol.2, pp.782-785, Genova, September 2005.
6. Foi, A., V. Katkovnik, K. Egiazarian, and J. Astola, "A novel anisotropic local polynomial estimator based on directional multiscale optimizations", Proc. 6th IMA Int. Conf. Math. Signal Process., pp. 79-82, Cirencester, 2004.
7. Foi, A., V. Katkovnik, K. Egiazarian, and J. Astola, "Inverse halftoning based on the anisotropic LPA-ICI deconvolution", Proc. 2004 Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2004, pp. 49-56, Vienna, September 2004.
8. Foi, A., V. Katkovnik, and K. Egiazarian, "Pointwise shape-adaptive DCT as an overcomplete denoising tool", Proc. 2005 Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2005, pp. 164-170, Riga, June 2005.
9. Foi, A., S. Alenius, M. Trimeche, V. Katkovnik, and K. Egiazarian, "A spatially adaptive Poissonian image deblurring", Proc. IEEE 2005 Int. Conf. Image Process., ICIP 2005, pp. 925-928, Genova, September 2005.
10. Foi, A., D. Paliy, V. Katkovnik, and K. Egiazarian, "Anisotropic nonparametric image restoration demobox" (MATLAB software), LASIP (Local Approximations in Signal and Image Processing) Project, http://www.cs.tut.fi/~lasip/ , 2005.
11. Gilge, M., T. Engelhardt, and R. Mehlan, "Coding of arbitrarily shaped image segments based on a generalized orthogonal transform", Signal Processing: Image Communication, vol. 1, no. 2, pp. 153-180, October 1989.
12. Gilge, M., "Region oriented transform coding (ROTC) of images", Proc. of Int. Conf. on Acoustics, Speech, and Signal Processing, ICASSP-90, Albuquerque, USA, vol. 4, pp. 2245-2248, April 1990.
13. Goldenshluger, A., and A. Nemirovski, "On spatial adaptive estimation of nonparametric regression", Math. Meth. Statistics, vol. 6, pp. 135-170, 1997.
14. Guleryuz, O.G., "Weighted overcomplete denoising", Proc. Asilomar Conference on Signals and Systems, Pacific Grove, CA, November 2003.
15. Katkovnik V., "A new method for varying adaptive bandwidth selection", IEEE Trans. Signal Process., vol. 47, no. 9, pp. 2567-2571, 1999.
16. Katkovnik, V., A. Foi, K. Egiazarian, and J. Astola, "Directional varying scale approximations for anisotropic signal processing", Proc. XII European Signal Process. Conf., EUSIPCO 2004, PP- 101-104, Vienna, September 2004.
17. Katkovnik, V., K. Egiazarian, and J. Astola, "Adaptive window size image de-noising based on intersection of confidence intervals (ICI) rule", J. of Math. Imaging and Vision, vol. 16, no. 3, pp. 223-235, 2002.
18. Katkovnik, V., K. Egiazarian, and J. Astola, "A spatially adaptive nonparametric regression image deblurring", IEEE Trans. on Image Process., vol. 14, no. 10, pp. 1469-1478, October 2005.
19. Kauff, P., and K. Schuur, "Shape-adaptive DCT with block-based DC separation and ADC correction", IEEE Transactions on Circuits and Systems for Video Technology, vol. 8, no. 3, pp. 237-242, 1998.
20. Kaup, A., and S. Panis, "On the performance of the shape adaptive DCT in object-based coding of motion compensated difference images", Proc. of 1997 Picture Coding Symposium, pp. 653-657, 1997.
21. Kervrann, C., and J. Boulanger, "Local adaptivity to variable smoothness for exemplar-based image denoising and representation", Research Report no. 5624, INRIA, July 2005.
22. Kinane, A., V. Muresan, and N. O'Connor, "Optimal adder-based hardware architecture for the DCT/SA-DCT", Proc. SPIE Visual Comm. and Image Process. Conf., VCIP 2005, Beijing, China, 12-15 July 2005.
23. Koenen, R., "Overview of the MPEG-4 Standard", ISO/IEC JTC1/SC29/WG11 Doc. N3536, July 2000.
24. Mignotte, M., "An adaptive segmentation-based regularization term for image restoration". Proc 12th IEEE Int. Conf. Image Process., ICIP'05, vol. 1, pp. 901-904, Italy, Genova, September 2005.
25. Neelamani, R., H. Choi, and R. Baraniuk, "Forward: Fourier-wavelet regularized deconvolution for ill-conditioned systems", IEEE Trans. Image Process., vol. 52. no. 2, 2004.
26. Ostermann, J., E.S. Jang, J. Shin, and T. Chen, "Coding of arbitrarily shaped video objects in MPEG-4", Proc. Int. Conf. Image Process., ICIP 1997, pp. 496-499, 1997.
27. Philips, W., "Orthogonal base functions on a discrete two-dimensional region", ELIS Technical Report DG 91-20, Dept. of Electronics and Inform, Syst., Universiteit Gent, Belgium, November 1993.
28. Portilla, J., V. Strela, M. Wainwright, and E.P. Simoncelli, "Image denoising using scale mixtures of Gaussians in the wavelet domain", IEEE Trans. Image Process., vol. 12. no. 11, pp. 1338-1351, November 2003.
29. Sikora, T., "Low complexity shape-adaptive DCT for coding of arbitrarily shaped image segments", Signal Processing: Image Communication, vol. 7, pp. 381-395, 1995.
30. Sikora, T., S. Bauer, and B. Makai, "Efficiency of shape-adaptive 2-D transforms for coding of arbitrarily shaped image segments," IEEE Trans. on Circuits and Systems for Video Technology, vol. 5, no. 3, pp. 254-258, June 1995.
31. Sikora, T., and B. Makai, "Shape-adaptive DCT for generic coding of video", IEEE Trans. on Circuits and Systems for Video Technology, vol. 5, no. 1, pp. 59-62, 1995.