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@article{VSGTU_2011_4_a26, author = {A. A. Yudashkin and D. A. Zausaev and I. S. Ryabtsov}, title = {Numerical simulation of modified {Perona--Malik} equantion in digital image denoising applications.}, journal = {Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences}, pages = {191--194}, publisher = {mathdoc}, number = {4}, year = {2011}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/VSGTU_2011_4_a26/} }
TY - JOUR AU - A. A. Yudashkin AU - D. A. Zausaev AU - I. S. Ryabtsov TI - Numerical simulation of modified Perona--Malik equantion in digital image denoising applications. JO - Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences PY - 2011 SP - 191 EP - 194 IS - 4 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/VSGTU_2011_4_a26/ LA - ru ID - VSGTU_2011_4_a26 ER -
%0 Journal Article %A A. A. Yudashkin %A D. A. Zausaev %A I. S. Ryabtsov %T Numerical simulation of modified Perona--Malik equantion in digital image denoising applications. %J Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences %D 2011 %P 191-194 %N 4 %I mathdoc %U http://geodesic.mathdoc.fr/item/VSGTU_2011_4_a26/ %G ru %F VSGTU_2011_4_a26
A. A. Yudashkin; D. A. Zausaev; I. S. Ryabtsov. Numerical simulation of modified Perona--Malik equantion in digital image denoising applications.. Journal of Samara State Technical University, Ser. Physical and Mathematical Sciences, no. 4 (2011), pp. 191-194. http://geodesic.mathdoc.fr/item/VSGTU_2011_4_a26/
[1] Hwu W. W., GPU Computing Gems Emerald Edition, Morgan Kaufmann, San Francisco, CA, 2011, 886 pp.
[2] Felsberg M., “On the Relation Between Anisotropic Diffusion and Iterated Adaptive Filtering”, LNCS, 5096 (2008), 436–445 | DOI | MR
[3] Rumpf M., Strzodka R., “Nonlinear Diffusion in Graphics Hardware”, Proceedings of EG/IEEE TCVG Symposium on Visualization (VisSym ’01), 2001, 75–84 | Zbl
[4] Schenke S., Wünsche B. C., Denzler J., “GPU-based volume segmentation”, Proceedings of IVCNZ ’05, 2005, 171–176
[5] Howison M., Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets, Technical Report LBNL-3425E, Lawrence Berkeley National Laboratory, Berkeley, CA, 2010, 9 pp.
[6] Perona P., Malik J., “Scale space and edge detection using anisotropic diffusion”, Proceedings of the IEEE Computer Society Workshop on Computer Vision, Miami, FL, 1987, 16–27
[7] Perona P., Malik J., “Scale-Space and Edge Detection Using Anisotropic Diffusion”, Pattern Anal. Mach. Intell., 12:7 (1990), 629–639 | DOI
[8] Gilboa G., Zeevi Y. Y., Sochen N., “Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes”, Image Processing' 2001, v. 3, 2001, 134–137 | DOI
[9] Melgosa M., “Testing CIELAB-Based Color-Difference Formulas”, Color Research and Application, 25:1 (2000), 49–55 | 3.0.CO;2-4 class='badge bg-secondary rounded-pill ref-badge extid-badge'>DOI
[10] Sharma G., Wu W., Dadal E. N., “The CIEDE2000 Color-Difference Formula: Implementation Notes, Supplementary Test Data, and Mathematical Observations”, Color research and application, 30:1 (2005), 21–30 | DOI