Geodesic
Usage of adaptive homomorphic filters for CT processing
Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2017), pp. 33-42.

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The article deals with effective usage of homomorphic filtering in the processing of data that do not comply with Gaussian distribution law. As an example, we used data from computed tomography. Data processing is based on wavelet – filtering, including noise reduction and edge enhancement for objects of interest. Results have shown significant data quality enhancement. What’s more important, we managed to avoid some unacceptable artifacts that occur when processed without the suggested transformation.
Keywords: computed tomography, image processing, nonlinear transform, edge enhancement, noise reduction inverse transform sampling, homomorphic filters. 
@article{ITVS_2017_2_a2,
     author = {M. S. Usanov and N. S. Kulberg and S. P. Morozov},
     title = {Usage of adaptive homomorphic filters for {CT} processing},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {33--42},
     publisher = {mathdoc},
     number = {2},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2017_2_a2/}
}
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M. S. Usanov; N. S. Kulberg; S. P. Morozov. Usage of adaptive homomorphic filters for CT processing. Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2017), pp. 33-42. http://geodesic.mathdoc.fr/item/ITVS_2017_2_a2/