Integer orthogonal transforms: design, fast algorithms, and applications

Karen O. Egiazarian; Dmytro Rusanovskyy; Jaakko T. Astola

doi:10.1117/12.538694

28 May 2004 Integer orthogonal transforms: design, fast algorithms, and applications

Karen O. Egiazarian, Dmytro Rusanovskyy, Jaakko T. Astola

Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.538694
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

The paper is devoted to design, fast implementation and applications of a family of 8-points integer orthogonal transforms based on a parametric matrix. A unified algorithm for their efficient computations is developed. Derived fast transforms have close coding gain performance to the optimal Karhunen-Loeve transform for the first order Markov process. Among them are also such that closely approximate the DCT-II and, at the same time, have a larger coding gain. For a particular set of parameters, integer transforms with reduced computational complexity are obtained. The comparative analysis of these transforms with the DCT-II in the framework of image denoising and video coding is performed.

Citation Download Citation

Karen O. Egiazarian, Dmytro Rusanovskyy, and Jaakko T. Astola "Integer orthogonal transforms: design, fast algorithms, and applications", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.538694

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