Apparatus and method for noncausal, predictive, digital image co

Image analysis – Image transformation or preprocessing

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Details

382260, 382265, 358432, 358433, H04N 100

Patent

active

056895917

ABSTRACT:
The present invention is directed to an apparatus and method for converting a noncausal, two dimensional signal representative of a digitized image into an equivalent data format that can be filtered by recursive filters. The first step is to estimate an optimal set of parameters by: generating data representative of a potential matrix which represents the signal for a given set of parameters; filtering the potential matrix to arrive at a statistically equivalent recursive data format; inputting white noise to the recursive data format to generate k samples of the signal; obtaining an average value for the correlation {.chi..sub..tau. }; generating data representative of a gradient of a likelihood function; using that data to minimize the likelihood function; comparing the arrived at set of parameters to a previously arrived at set of parameters to determine whether the difference therebetween is within a desired tolerance; and repeating the previous steps until an optimal set of parameters is estimated. The next step is to generate data representative of a potential matrix using the optimal set of parameters. That potential matrix is filtered to arrive at a statistically equivalent recursive representation. The equivalent, recursive representation may be used, for example, for image compression or image smoothing.

REFERENCES:
patent: 5001560 (1991-03-01), Ericsson
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JoseM. F. Moura and Nikhil Balram. A Recuisive Framework for Noncausal Gauss Markov Random Fileds. In 24th Annual Conf. Inform. Sci. Syst. pp.608-613, Priceton, NY Mar. 1990.
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