Derivate statistics for Karhunen-Loève transform

Pavel Hanzlík; Petr Páta

doi:10.1117/12.675849

18 April 2006 Derivate statistics for Karhunen-Loeve transform

Pavel Hanzlík, Petr Páta

Proceedings Volume 6180, Photonics, Devices, and Systems III; 618020 (2006) https://doi.org/10.1117/12.675849
Event: Photonics, Devices, and Systems III, 2005, Prague, Czech Republic

Abstract

This paper introduces video compression and image processing methods for fast multimedia channels. Standards designed for image and video coding (JPEG2000, MPEG-4 and MPEG-7), being not strictly defined, present a large field for further experiments and improvements. Our method was developed on fundamentals of Vector Quantization (VQ) and the most advantageous qualities of Karhunen-Loeve Transform (KLT) (known also as Principal Component Analysis - PCA). We also present a direct an idea of how to implement optical transform that can be used with accordance to the methods presented. Among other compression techniques, KLT optimality is discussed as a purpose for further improvement to the method.

Citation Download Citation

Pavel Hanzlík and Petr Páta "Derivate statistics for Karhunen-Loeve transform", Proc. SPIE 6180, Photonics, Devices, and Systems III, 618020 (18 April 2006); https://doi.org/10.1117/12.675849

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