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Abstrakty
This paper presents high compression rate image coder based on Dictionary of Base Functions. Dictionary of Base Functions - BFB is a main part of proposed image compression. Proposed BFD has a ability to capture the characteristic of input images especially in high compression rates. Proposed image coder will be compared to the existing still image compression standard.
Wydawca
Czasopismo
Rocznik
Tom
Strony
27--33
Opis fizyczny
Bibliogr. 7 poz., rys.
Twórcy
autor
- Institute of Telecommunications, University of Technology and Life Sciences, Kaliskiego 7, 85-791 Bydgoszcz
Bibliografia
- [1] S. Mallat and Zhang, Matching Pursuit with time-frequency dictonaries, IEEE Transactions on Signal Processing, vol. 41, no 12, pp. 3397-3415, Dec 1993.
- [2] J. A. Tropp, Just Relax: Convex Programming Methods for Subset Selection and Sparse Approximation, The Univ. Texas at Austin, ICES Rep. 04-04, 2004.
- [3] A. E. Campos, “Range Coder”, http://arturocampos.com, 2005.
- [4] P. Jost, P. Vandergheynst, P. Frossard, “Redundant image representations in security applications”, IEEE ICIP 2004 Singapore, vol. 4, pp. 2151-2, Oct. 2004.
- [5] P. Vandergheynst, P. Frossard, “Efficient image representation by anisotropic refinement in matching pursuit”, IEEE ICASSP ,vol.3, pp. 1757 - 1760, 2001.
- [6] A.N. Skorodas, C.A. Christopoulos and T. Ebrahimi, “The JPEG2000 Still Image Compression Standard”, IEEE Signal Processing Magazine, pp. 36-58, 2001
- [7] J. A. Tropp, Greed is Good: Algorithmic Results for Sparse Approximation, IEEE Transactions on Information Theory, vol. 50, no. 10, October 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0032-0003