Compression of Image Clusters using Karhunen Loeve Transformations

Matthias Kramm

doi:10.1117/12.703992

12 February 2007 Compression of image clusters using Karhunen Loeve transformations

Matthias Kramm

Proceedings Volume 6492, Human Vision and Electronic Imaging XII; 64920G (2007) https://doi.org/10.1117/12.703992
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

This paper proposes to extend the Karhunen-Loeve compression algorithm to multiple images. The resulting algorithm is compared against single-image Karhunen Loeve as well as algorithms based on the Discrete Cosine Transformation (DCT). Futhermore, various methods for obtaining compressable clusters from large image databases are evaluated.

Citation Download Citation

Matthias Kramm "Compression of image clusters using Karhunen Loeve transformations", Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64920G (12 February 2007); https://doi.org/10.1117/12.703992

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