Optimal image coding for compression of correlated image sets

Yurij S. Musatenko; Vitalij N. Kurashov

doi:10.1117/12.321925

16 September 1998 Optimal image coding for compression of correlated image sets

Yurij S. Musatenko, Vitalij N. Kurashov

Proceedings Volume 3408, Broadband European Networks and Multimedia Services; (1998) https://doi.org/10.1117/12.321925
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland

Abstract

The paper presents new method for compression of correlated image sets. It is known that Karhunen-Loeve (KL) transform is most optimal representation for such a purpose. In our paper we use recently suggested fast algorithm of KL basis construction for compression of correlated image ensembles. The approach is based on fact that every KL basis function give maximum possible contribution in every image and this contribution decreases most quickly among all possible bases. So, we lossy compress every KL basis function by lossy DCT coding with essentially different loss that depends on the functions' contribution in the images.

Citation Download Citation

Yurij S. Musatenko and Vitalij N. Kurashov "Optimal image coding for compression of correlated image sets", Proc. SPIE 3408, Broadband European Networks and Multimedia Services, (16 September 1998); https://doi.org/10.1117/12.321925

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