2022 Повышение квалификации: Самарский университет
2021 Повышение квалификации: Самарский университет
2018 Повышение квалификации: Самарский университет
2018 Повышение квалификации: Самарский университет
2018 Повышение квалификации: Самарский университет
1998 - 2001 Послевузовское образование: Самарский государственный аэрокосмический университет им.С.П.Королева
1992 - 1998 Образование: Самарский государственный аэрокосмический университет им.С.П.Королева , факультет Информатика
2022
1Gashnikov M.V., Kuznetsov A.V.Detection of artificial fragments embedded in remote sensing images by adversarial neural networks // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 643-649
2Gashnikov M.General Structure of an Machine Learning Method for Compression of Images // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
3Maksimov A., Gashnikov M.Generalization of Machine Learning-Based Compression Method to Hyperspectral Images // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
4Gashnikov M.Pyramidal Image Compression Based on Machine Learning // Proceedings - 2022 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2022. — 2022. — P. 240-243
5Yuzkiv R., Gashnikov M.Modification of Machine Learning Algorithms for Embedding in Image Compression Methods // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
6Gashnikov M.Choosing Machine Learning Methods for Image Compression // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
7Gashnikov M.V., Kuznetsov A.V.Detection of Fake Remote-Sensing Data // Optical Memory and Neural Networks (Information Optics) 2022. — Vol. 31. Issue 1. — P. 16-21
2011
1Myasnikov V.V., Ivanov A.A., Gashnikov M.V. etc. Computer program for automatic estimation of digital image quality // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 3. — P. 415-418
2004
1Chicheva, MA, Gashnikov, MV, Glumov, NI etc. Image compression technology for real-time systems of remote sensing // International Conference on Computing, Communications and Control Technologies, Vol 5, Proceedings. — 2004. — P. 237-241
2005
1Chernov A. V. , Chicheva M.A., Gashnikov M.V. etc. Software system for development of algorithms for digital images processing and analysis // Proceedings of the Second IASTED International Multi-Conference on Automation, Control, and Information Technology, ACIT 2005. — 2005. — P. 139-142
2007
1Gashnikov M.V., Glumov N.I., Sergeyev V.V.Stabilization of the compressed data formation rate in hierarchical image compression // Pattern Recognition and Image Analysis 2007. — Vol. 17. Issue 1. — P. 79-81
2Bavrina A.Yu., Gashnikov M.V., Sergeyev V.V.Compression of 3D digital signals based on hierarchical grid interpolation // Pattern Recognition and Image Analysis 2007. — Vol. 17. Issue 1. — P. 25-27
3Gashnikov M.V., Glumov N.I., Myasnikov E.V. etc. Software environment for simulating algorithms for image analysis and processing // Pattern Recognition and Image Analysis 2007. — Vol. 17. Issue 2. — P. 279-283
2008
1Bavrina A.Yu., Gashnikov M.V., Glumov N.I.Efficiency analysis of image compression algorithms based on hierarchical and wavelet representations // Pattern Recognition and Image Analysis 2008. — Vol. 18. Issue 4. — P. 598-601
2Gashnikov M.V., Chernov A. V. , Chupshev N.V. Normalization of images of moving objects in case of sequential registration of RGB channels // Computer Optics 2008. — Vol. 32. Issue 1. — P. 93-95
2009
1Gashnikov M.V., Chernov A. V. , Chupshev N.V. Color correction of vehicle images during the sequential registration of color channels // Pattern Recognition and Image Analysis 2009. — Vol. 19. Issue 1. — P. 106-108
2Gashnikov M.V., Glumov N.I., Chernov A. V. Preparing a common raster coverage for a territory based on hierarchical compressed presentation of orthoimages // Pattern Recognition and Image Analysis 2009. — Vol. 19. Issue 1. — P. 39-42
2010
1GAShNIKOV M.V., MYaSNIKOV V.V., Ivanov A.A. Software system for identification of optoelectronic digital imaging systems and estimation of their quality // Proceedings of 10-th International Conference on Pattern Recognition and image analysis: New Information Technologies. — 2010. —
2Gashnikov M.V., Fedoseev V.A.Method of surveillance devices arrangement on terrain // Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010. — 2010. — P. 233-235
3Gashnikov M.V., Glumov N.I., Sergeev V.V.A hierarchical compression method for space images // Automation and Remote Control 2010. — Vol. 71. Issue 3. — P. 501-513
2013
1MYaSNIKOV V.V., GAShNIKOV M.V., Glumov N.I. etc. Regional Geographic Information System for Natural-Gas Distribution Network Monitoring Network Monitoring // The 11-th International Conference on Pattern Recognition And Image Analysis (PRIA-11). — 2013. —
2021
1Kuznetsov A., Gashnikov M.Investigation of the Influence of the Retouched Region Size on the RS-Images Quality // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
2Kuznetsov A., Gashnikov M.Increasing the Size of the Camouflage Area for Remote Sensing Images // Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. — 2021. — P. 312-315
3Gashnikov M.Hierarchical Representation of Plain Areas of Post-Interpolation Residuals for Image Compression // Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. — 2021. — P. 324-326
4Gashnikov M.Compressing Images Using Contextual Interpolator Parameterization // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
5Gashnikov M.V.A Heuristic Algorithm for Arbitrary-criterion Optimization of Quantization Scales // Optical Memory and Neural Networks (Information Optics) 2021. — Vol. 30. Issue 2. — P. 140-145
6Gashnikov M.V.Pyramidal Image Compression Using the Parameterized NEDI Algorithm // Optical Memory and Neural Networks (Information Optics) 2021. — Vol. 30. Issue 3. — P. 187-193
7Glumov N., Gashnikov M.Quantizer Optimization Based on Uniform Iterative Expansion of Quantization Intervals // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
8Gashnikov M.Image Coding Based on Efficient Representation of Trivial Regions in Quantization // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
2014
1Gashnikov M.V., Glumov N.I.Hierarchical GRID interpolation under hyperspectral images compression // Optical Memory and Neural Networks (Information Optics) 2014. — Vol. 23. Issue 4. — P. 246-253
1Gashnikov M.V., Glumov N.I., Myasnikov V.V. etc. Regional geographic information systems for gas network monitoring // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 3. — P. 418-422
2Gashnikov M.V., Glumov N.I.Hyperspectral images repository using a hierarchical compression // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Posters Proceedings. — 2015. — P. 1-4
2016
1Gashnikov M.V.Interpolation for hyperspectral images compression // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 327-333
3Glumov N.I., Gashnikov M.V.Hyperspectral image compression for transmission over communication channel // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 334-339
4Gashnikov M.V.Parameterization of the nonlinear greham predictor for digital image compression // Computer Optics 2016. — Vol. 40. Issue 2. — P. 225-231
5Gashnikov M.V., Glumov N.I.Development and investigation of a hierarchical compression algorithm for storing hyperspectral images // Optical Memory and Neural Networks (Information Optics) 2016. — Vol. 25. Issue 3. — P. 168-179
6Gashnikov M.V.Differential image compression based on adaptive prediction // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 320-326
7Gashnikov M.V., Glumov N.I.Onboard processing of hyperspectral data in the remote sensing systems based on hierarchical compression // Computer Optics 2016. — Vol. 40. Issue 4. — P. 543-551
8Gashnikov M.V., Glumov N.I., Kuznetsov A.V. etc. Hyperspectral remote sensing data compression and protection // Computer Optics 2016. — Vol. 40. Issue 5. — P. 689-712
2017
1Gashnikov M.V.Minimizing the entropy of quantized post-interpolation residuals for hierarchical image compression // Procedia Engineering. — 2017. — Vol. 201. — P. 196-205
2Gashnikov M.V.A differential image compression method using adaptive parameterized extrapolation // Optical Memory and Neural Networks (Information Optics) 2017. — Vol. 26. Issue 2. — P. 137-144
3Gashnikov M.V., Myasnikov V.V.Detection of informative fragments for image quality assessment // Proceedings of SPIE - The International Society for Optical Engineering. — 2017. — Vol. 10341.
4Gashnikov M.V.Statistical encoding for image compression based on hierarchical grid interpolation // Computer Optics 2017. — Vol. 41. Issue 6. — P. 905-912
5Gashnikov M.V.Statistical encoding algorithm for hierarchical image compression // Optical Memory and Neural Networks (Information Optics) 2017. — Vol. 26. Issue 4. — P. 274-279
6Gashnikov M.V.DPCM with an adaptive extrapolator for image compression // CEUR Workshop Proceedings. — 2017. — Vol. 1901. — P. 72-77
7Gashnikov M.V.Minimizing the entropy of post-interpolation residuals for image compression based on hierarchical grid interpolation // Computer Optics 2017. — Vol. 41. Issue 2. — P. 266-275
8Gashnikov M.V.Parameterized adaptive predictor for digital image compression based on the differential pulse code modulation // Proceedings of SPIE - The International Society for Optical Engineering. — 2017. — Vol. 10341.
2018
1Gashnikov M.NEDI-based interpolation for hierarchical image compression // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10806.
2Denisov S.A., Gashnikov M.V.Interpolation for differential and hierarchical compression of multidimensional signals // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 365-371
3Gashnikov M.V.Multidimensional signal interpolation based on autocorrelation models for HGI compression // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
4Maksimov A.I., Gashnikov M.V.Parameterization of the nonlinear interpolator invariant to four directions contours for multidimensional digital signals // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 21-28
5Gashnikov M.V.Context Interpolation of Multidimensional Digital Signals in Problem of Compression // Optical Memory and Neural Networks (Information Optics) 2018. — Vol. 27. Issue 3. — P. 183-190
6Gashnikov M.V.Interpolation of Multidimensional Signals Based on Optimization of Entropy of Postinterpolation Remainders // Optical Memory and Neural Networks (Information Optics) 2018. — Vol. 27. Issue 4. — P. 283-291
7Gashnikov M.V.Interpolation based on context modeling for hierarchical compression of multidimensional signals // Computer Optics 2018. — Vol. 42. Issue 3. — P. 468-475
8Maksimov A.I., Gashnikov M.V.Adaptive interpolation of multidimensional signals for differential compression // Computer Optics 2018. — Vol. 42. Issue 4. — P. 679-687
9Gashnikov M.V.Adaptive Autoregressive Interpolation of Multidimensional Signals under Compression Based on Hierarchical Grid Interpolation // Optical Memory and Neural Networks (Information Optics) 2018. — Vol. 27. Issue 2. — P. 132-138
10Gashnikov M.V.Multidimensional signals interpolation based on NEDI for HGI compression // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 47-55
11Gashnikov M., Maksimov A.Parameterized four direction contour-invariant extrapolator for DPCM image compression // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10806.
12Gashnikov M.Optimization of the hierarchical interpolator for image compression // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10696.
2019
1Maksimov A., Gashnikov M.Parameter space dimension reduction for multidimensional signals differential pulse-code modulation interpolator // 7th International Symposium on Digital Forensics and Security, ISDFS 2019. — 2019. —
2Maksimov A.I., Gashnikov M.V.Parameter space dimension reduction of an adaptive interpolator during multidimensional signal differential compression // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 2-30
3Gashnikov M.V.Optimization of the multidimensional signal interpolator in a lower dimensional space // Computer Optics 2019. — Vol. 43. Issue 4. — P. 653-660
4Gashnikov M.V.Multidimensional Signal Interpolation Based on Factorization and Dimension Reduction of Decision Rules // Optical Memory and Neural Networks (Information Optics) 2019. — Vol. 28. Issue 4. — P. 332-342
5Gashnikov M.V.Parametric Space Dimensionality Reduction in Multidimensional Signal Interpolation // Optical Memory and Neural Networks (Information Optics) 2019. — Vol. 28. Issue 2. — P. 95-100
6Glumov N.I., Gashnikov M.V.Adaptive interpolation of multidimensional signals for compression on board an aircraft // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 97-102
7Gashnikov M.Multidimensional signal interpolation based on parametric space dimension reduction // 7th International Symposium on Digital Forensics and Security, ISDFS 2019. — 2019. —
8Gashnikov M.V.Interpolation of multidimensional signals using the reduction of the dimension of parametric spaces of decision rules // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 31-40
9Gashnikov M.V.Reducing dimension of parametric space based on the approximation of components for interpolation of multidimensional signals // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
2020
1Glumov N., Gashnikov M.Algorithm for optimizing quantization scales by an arbitrary quality measure // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 29-32
2Kuznetsov A., Gashnikov M.Remote Sensing Image Inpainting with Generative Adversarial Networks // 8th International Symposium on Digital Forensics and Security, ISDFS 2020. — 2020. —
3Gashnikov M.Adaptation of parameterized interpolation algorithms of multidimensional signals for hierarchical and interpolation compression methods // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 14-19
4Gashnikov M.V.Optimal Quantization and Adaptive Interpolation in Compression of Multidimensional Signals // Optical Memory and Neural Networks (Information Optics) 2020. — Vol. 29. Issue 2. — P. 133-141
5Gashnikov M.V.Adaptive interpolation based on optimization of the decision rule in a multidimensional feature space // Computer Optics 2020. — Vol. 44. Issue 1. — P. 101-108
6Gashnikov M.Decision-Tree-Based Interpolation for Multidimensional Signal Compression // 8th International Symposium on Digital Forensics and Security, ISDFS 2020. — 2020. —
7Gashnikov M.V.Parameterized interpolation for fusion of multidimensional signals of various resolutions // Computer Optics 2020. — Vol. 44. Issue 3. — P. 436-440
8Kuznetsov A.V., Gashnikov M.V.Remote sensing data retouching based on image inpainting algorithms in the forgery generation problem // Computer Optics 2020. — Vol. 44. Issue 5. — P. 763-771
9Gashnikov M.V., Kuznetsov A.V.Use of Generative Adversarial Networks to Altering Remote Sensing Data // Optical Memory and Neural Networks (Information Optics) 2020. — Vol. 29. Issue 3. — P. 220-227
10Gashnikov M.Adaptive interpolation for heterogeneous multidimensional signals fusion // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
11Maksimov A., Gashnikov M.Differential method of multidimensional signals compression based on the adapted parameterized interpolation algorithm // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 20-24
2000
1Gashnikov M., Glumov N., Sergeyev V.Compression method for real-time systems of remote sensing // Proceedings - International Conference on Pattern Recognition 2000. — Vol. 15. Issue 3. — P. 228-230