Method for the temporal filtering of the noise in an image of a

Image analysis – Image enhancement or restoration – Image filter

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382265, 382275, 382132, G06K 940

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active

059110120

ABSTRACT:
A method for the temporal filtering of a sequence of digitized noisy images includes the evaluation of an anti-causal filtered sample (P.sub.t.sup.A) in order to reconstruct a present noisy sample (I.sub.t.sup.P) of a given pixel in a present image by an anti-causal linear combination of a causal filtered sample (P.sub.t.sup.C) obtained by preliminary causal linear temporal filtering in association with coefficients (b.sub.j.sup.C) and an anti-causal noisy sample (I.sub.t+1.sup.A). To the samples (P.sub.t.sup.C, I.sub.t+1.sup.A) there are assigned weights calculated as functions of a causal gain factor (K.sub.t.sup.C), equal to the inverse of the sum of the coefficients of the causal linear filtering, and an anti-causal continuity coefficient (.alpha..sub.t.sup.A), the weight of the anti-causal sample (I.sub.t+1.sup.A) being equal to the probability of intensity continuity between the anti-causal sample (I.sub.t+1.sup.A) and a previous filtered sample (P.sub.t.sup.C, P.sub.t-1.sup.C) in the sequence. A device for carrying out the method is configured for calculating the anti-causal linear combination.

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"A New Approach to Linear Filtering and Prediction Problems", by R.E. Kalman, Transactions of the ASME, Journal of Basic Engineering, Series 82D, pp. 35-45, 1960.

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