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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382261, 382264, 382132, G06K 940, G06T 510

Patent

active

059095156

ABSTRACT:
A method for the temporal filtering of an image of a sequence of noisy digitized images includes the evaluation of an integration equation which (x,y)! in the present image (J.sub.t.sup.P) by evaluating the sum of the noisy intensity (I.sub.t.sup.P) of the present (t) and the product of a gain factor (K.sub.t.sup.P) and the difference of said noisy intensity of the present (I.sub.t.sup.P) and the causal filtered intensity (P.sub.t-1.sup.C). According to this evaluation, the gain factor (K.sub.t.sup.C) is a function of the causal gain factor (K.sub.t-1.sup.C) and of a continuity coefficient (.alpha..sub.t.sup.C) which measures the probability of intensity continuity between the present noisy intensity (I.sub.t.sup.P) and the causal filtered intensity (P.sub.t-1.sup.C). A device for carrying out this method includes a sub-assembly whose input (100) receives the present noisy sample (I.sub.t.sup.P) and which includes a memory (10) which supplies a causal filtered intensity (P.sub.t-1.sup.C), a memory (17) which supplies a causal gain factor (K.sub.t-1.sup.C), and means for calculating the integration equation.

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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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