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Compressing High-Res Images Correlated in Multiple Dimens...

Saitwal, Kishor
Compressing High-Res Images Correlated in Multiple Dimensions
Eigenspace methods take advantage of the fact that a set of highly correlated images can be approximately represented by a small set of eigenimages. However, all known eigendecomposition algorithms are directly proportional to the resolution of original images. With the ability to generate consistently better resolution images using state-of-the-art equipment, these techniques still show performance issues and exponential increase in memory re...

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