http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EA-017302-B1

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filingDate 2011-10-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fcd30b03cfd20e171186d2043de479af
publicationDate 2012-11-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EA-017302-B1
titleOfInvention METHOD OF SUPERVISING NOISE SERIES OF DIGITAL X-RAY PATTERNS
abstract A feature of the proposed method for suppressing the noise of a series of digital radiographs is that when the frame-by-frame assessment of the noise variance, which depends on the signal intensity, morphological removal of the pixel values of the noise image corresponding to the boundaries in the original image is carried out. A tabular dependence of the noise on the signal intensity is obtained using a robust piecewise linear approximation of the interval estimates of the noise variance. A noise map is computed as a pixel-by-pixel estimate of the noise variance of the original digital image. When evaluating and compensating for motion and flicker effect, a pyramidal scheme for searching for block matching is used. The motion estimation blocks are considered with overlap, while motion compensation, the overlap of the blocks is averaged using a smooth weighting window. The flicker effect is taken into account by dividing the reference and current frames into the corresponding fields of average values, which are obtained by linear low-frequency filtering of these frames. To compensate for the flicker effect, the local average brightness of the reference frame is reduced to the local average brightness of the current one, for which the reference frame is divided by its motion-compensated average field and multiplied by the average field of the current frame. In the case of recursive averaging with correction of motion compensation artifacts, the current filtered frame is mixed with its original version based on the calculation of the pixel and structural similarity of the frame data. The technical result of the proposed method is to improve the quality of the resulting image by suppressing noise. Noise reduction is carried out in 3
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