Compression of image clusters using Karhunen Loeve transformations
Matthias Kramm · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.