Patent ID: 7376283

Claim:
Method of processing a digitized image consisting of a table T of numbers x (ij) each expressing the degree of luminosity of a corresponding pixel (i, j), the method comprising the reduction of high-frequency noise by the following steps: a) decomposing the table T into a continuous series of p basic tables of the same dimensions each having n pixels, b) ordering the data from the series of basic tables into a processing table X of p rows and n columns, each row i being formed of the ordered sequence of the pixels from the i th basic table, d) effecting a multivariate statistical analysis on the processing table X, considering the n columns as variables, to extract therefrom n representative factors, f) generating a reconstituted processing table XR of numbers xr (i, j) using only the first q representative factors and restoring the absolute degree of luminosity, then generating a reconstituted table TR constituting the reconstituted digitized image in which the high-frequency noise has been reduced in this way, wherein: g) during the step f), the reconstituted processing table XR is reconstituted by reconstructing each row i independently of the others, taking into account only the factors having a meaningful weight with the row i, h) after the step b), a normalization step is provided for obtaining a normalized matrix XN in which each element xn ij of row i and column j is weighted by a transform TN using the mean of the values of the elements of the row i and the mean of the elements of the column j, i) the step d) uses a method of factorial analysis of correspondences, whereby: d1) the transposed matrix XN T is calculated, d2) the square matrix that is the product of the normalized matrix XN and the transposed matrix XN T is calculated, d3) the square matrix XN T XN is diagonalized to extract therefrom n eigenvectors u k (with k from 1 to n) associated with n eigenvalues vp k , d4) the coordinates of the p rows of the normalized matrix XN are calculated on the n eigenvectors, d6) the coordinates of the n columns are calculated on the n eigenvectors, and wherein, during a step d5) the squared cosines of the rows on the n factor axes are calculated, and the squared cosines are used to test the weight of the representative factors in the row i.