Zobrazeno 1 - 10
of 10
pro vyhledávání: '"I. A. Ovseyevich"'
Publikováno v:
Pattern Recognition and Image Analysis. 20:370-375
Common restoration techniques use a single observed image for the processing. In this work three observed degraded images obtained from camera microscanning are utilized for image restoration. It is assumed that the degraded images contain informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f37bd2d2916fea76472b096d6a14ba1
https://doi.org/10.1134/s1054661810030132
https://doi.org/10.1134/s1054661810030132
Publikováno v:
Pattern Recognition and Image Analysis. 20:335-340
Mathematical properties of the amplitude and phase components of Fourier spectra of distorted images are analyzed. Based on the results, a method is proposed for solving the identification problem of the distorting operator using the spectra of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e524fe8a5b3712e512770afbbfc4b892
https://doi.org/10.1134/s1054661810030090
https://doi.org/10.1134/s1054661810030090
Publikováno v:
Pattern Recognition and Image Analysis. 20:179-184
Image deblurring based on a conditional total variation approach is presented. The restored image minimizes the total variation in the class of images which satisfy the constraints given by the Kronrod’s variations. Computer simulation results usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd674b1c80103908411d943f8752c0f
https://doi.org/10.1134/s1054661810020094
https://doi.org/10.1134/s1054661810020094
Publikováno v:
Pattern Recognition and Image Analysis. 20:163-168
In the design of conventional correlation filters for pattern recognition, the appearance and the shape of a target are assumed to be known. In this work, the target is assumed to have unknown coordinates in a noise-corrupted reference image. We obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8175314d40cc105b7f61ce37ba82a36
https://doi.org/10.1134/s1054661810020070
https://doi.org/10.1134/s1054661810020070
Publikováno v:
Pattern Recognition and Image Analysis. 18:613-620
Adaptive composite nonlinear filters for reliable illumination-invariant pattern recognition are proposed. The information about objects to be recognized, false objects, and a background to be rejected is utilized in an iterative training procedure t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4435eb3b0e9afa9e62b251344211f2f2
https://doi.org/10.1134/s1054661808040135
https://doi.org/10.1134/s1054661808040135
Autor:
I. A. Ovseyevich, Vitaly Kober
Publikováno v:
Pattern Recognition and Image Analysis. 18:649-653
A space-variant restoration technique with sliding sinusoidal transforms is presented. Minimum mean-square error estimators in the domains of sliding discrete sine and cosine transforms for image restoration are derived. To achieve image processing i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3edd0a0c057a4e94a8b40aa3ae4d0bf
https://doi.org/10.1134/s1054661808040172
https://doi.org/10.1134/s1054661808040172
Publikováno v:
Pattern Recognition and Image Analysis. 17:125-130
Two effective algorithms for the removal of impulse noise from color images are proposed. The algorithms consist of two steps. The first algorithm detects outliers with the help of spatial relations between the components of a color image. Next, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef4e4a90cdc602bdeb88c7609beb038
https://doi.org/10.1134/s1054661807010142
https://doi.org/10.1134/s1054661807010142
Autor:
A. M. Coolpin, O. A. Oganov, T. S. Vinogradova, V. A. Stepanov, M. V. Pocrovscaya, Yu. G. Antonov, N. E. Barinova, V. E. Trapezin, M. V. Patchin, Ch. Chapodi, L. V. Coryacov, M. I. Kechker, I. A. Ovseyevich, E. F. Socolova, Z. G. Aseyeva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::104a3d12268d4968e69d960d4100f151
https://doi.org/10.1159/000391949
https://doi.org/10.1159/000391949
Publikováno v:
Pattern Recognition and Image Analysis. 21:309-311
Most of the reconstruction algorithms smooth out the edges of the reconstructed images but iterative total variation regularization and local adaptive methods preserve the edge information without any prior knowledge about the image geometric details
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fef8a987ad4eb14e4f0e35790a1f6cc
https://doi.org/10.1134/s1054661811020787
https://doi.org/10.1134/s1054661811020787
Autor:
Y G, Antonov, Z G, Aseyeva, N E, Barinova, T S, Vinogradova, M I, Kechker, L V, Coryacov, A M, Coolpin, I A, Ovseyevich, O A, Oganov, M V, Patchin, M V, Pocrovscaya, E F, Socolova, V A, Stepanov, V E, Trapezin, C, Chapodi
Publikováno v:
Advances in cardiology. 28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::204b5857d3359eb86f8fc29f840edba6
https://pubmed.ncbi.nlm.nih.gov/7234612
https://pubmed.ncbi.nlm.nih.gov/7234612