16 September 1998 Optimal image coding for compression of correlated image sets
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yurij S. Musatenko, Yurij S. Musatenko, Vitalij N. Kurashov, Vitalij N. Kurashov, } "Optimal image coding for compression of correlated image sets", Proc. SPIE 3408, Broadband European Networks and Multimedia Services, (16 September 1998); doi: 10.1117/12.321925; https://doi.org/10.1117/12.321925
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