Hilbert-space Karhunen-Loève transform with application to image analysis
JOSA A, Vol. 16, Issue 1, pp. 28-35 (1999)
http://dx.doi.org/10.1364/JOSAA.16.000028
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Abstract
A generalization of the Karhunen–Loève (KL) transform to Hilbert spaces is developed. It allows one to find the best low-dimensional approximation of an ensemble of images with respect to a variety of distance functions other than the traditional mean square error (L2 norm). A simple and intuitive characterization of the family of Hilbert norms in finite-dimensional spaces leads to an algorithm for calculating the Hilbert-KL expansion. KL approximations of ensembles of objects and faces optimized with respect to a norm based on the modulation transfer function of the human visual system are compared with the standard L2 approximations.
© 1999 Optical Society of America
[Optical Society of America ]
OCIS Codes
(110.6980) Imaging systems : Transforms
Citation
A. Levy and J. Rubinstein, "Hilbert-space Karhunen-Loève transform with application to image analysis," J. Opt. Soc. Am. A 16, 28-35 (1999)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-16-1-28
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