Scalable image coder using base functions dictionary

• Autorzy: Saganowski Ł.
• Języki publikacji: EN

Abstrakty

EN

This paper presents scalable image coder based on Matching Pursuit image decomposition and wavelet transformation. Matching Pursuit algorithm uses dictionaries to decompose image on elementary base functions (atoms). Bi-orthogonal Daubechies wavelet 9/7 filterbank is used to obtain coarse and filtered subimage which can be considered as base layer of coded image.

Słowa kluczowe

EN

image coding; image compression; matching pursuit; wavelet

PL

kodowanie obrazu; kompresja obrazu; falka

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2006
• Tom: Vol. 11, no 1
• Strony: 107--113
• Opis fizyczny: Bibliogr. 11 poz., rys., wykr.

Twórcy

autor

Saganowski Ł.

• Institute of Telecommunication, University of Technology and Agriculture, Kaliskiego 7, 85-791 Bydgoszcz

Bibliografia

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• [2] Tropp J., “Greed is good: Algorithmic results for sparse approximation,” Tech. Rep. 03-04, University of Texas, ICES, Austin (TX), 2003
• [3] Gribonval R. and Nielsen M, “Sparse representations in unions of bases,” Tech. Rep. 1499, IRISA, Rennes (France), 2003.
• [4] Bergeaud F. and Mallat S, “Matching pursuit of images,” in Proc. IEEE Int. Conf. Image Proc., vol. I, pp. 53-56, Washington DC, October 1995
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• [6] J. A. Tropp. Just relax: Convex programming methods for subset selection and sparse approximation. ICES Report 04-04, The University of Texas AT Austin, February 2004.
• [7] Francois Mendels, Pierre Vandergheynst, and Jean-Philippe Thiran, “Rotation and scale invariant shape representation and recognition using Matching Pursuit” IEEE International Conference on Pattern Recognition (ICPR), Quebec, August 11-15 2002
• [8] P. Vandergheynst and P. Frossard, “Efficient image representation by anisotropic refinement in matching pursuit,” Proc of IEEE ICASSP'0l, 3:1757-1760, May 2001.
• [9] Frossard P., Vandergheynst P., Figueras i Ventura R. and Kunt M., “A posteriori quantization of progressive matching pursuit streams,” IEEE Transactions on Signal Processing, vol. 52, no. 2, pp. 525-535, February 2004
• [10] D. Taubman, “High performance scalable image compression with EBCOT,” IEEE Trans. Image Processing, vol. 9, pp. 1158-1170, July 2000
• [11] A. Skodras, C. Christopoulos and T. Ebrahimi, “The JPEG2000 Still Image Compression Standard,” IEEE Signal Processing Magazine, vol. 18, pp. 36-58, September 2001