Image analysis – Image compression or coding
Patent
1994-08-31
1996-12-10
Mancuso, Joseph
Image analysis
Image compression or coding
382276, 382254, G06K 936, G06K 946
Patent
active
055839517
ABSTRACT:
A method is proposed for determining approximations of eigenvectors of a covariance matrix associated with signal data on the basis of the Principal Component Transform. Successive iterations on estimates enhance the development into the direction of the principal component considered. The method is applicable to the Singular Value Decomposition of data matrices. The operations to be performed are similar to those required in a neural net for adapting the synaptic coefficients, Apparatus are proposed for performing the method.
REFERENCES:
patent: 4945502 (1990-07-01), Kwon et al.
patent: 5379352 (1995-01-01), Sirat et al.
Gonzales et al., Digital Image Processing, Second Edition, Addison-Wesley Publishing Company, 1987, pp. 122-130.
Chauvin, "Principal Component Analysis By Gradient Descent On A Constrain Lienear Hebbian Cell", IEEE and INNS International Joint Conference on Neural Nets, 1989, pp. 1373-1405.
Sirat Jacques A.
Zwierski Didier E.
Barschall Anne E.
Mancuso Joseph
Shalwala Bipin
U.S. Philips Corporation
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