Петров Максим Витальевич

Scopus/WoS

2024

• 1 Ivliev N., Podlipnov V., Petrov M. etc. 3U CubeSat-Based Hyperspectral Remote Sensing by Offner Imaging Hyperspectrometer with Radially-Fastened Primary Elements // Sensors (Switzerland) 2024. — Vol. 24. Issue 9. № 9.

2023

• 1 Bibikov S.A., Petrov M.V., Alekseyev A.P. etc. Color consistency method for cameras with unknown model // Computer Optics 2023. — Vol. 47. Issue 1. № 1. — P. 92-101
• 2 Evdokimova V.V., Podlipnov V.V., Ivliev N.A. etc. Hybrid Refractive-Diffractive Lens with Reduced Chromatic and Geometric Aberrations and Learned Image Reconstruction // Sensors (Basel, Switzerland) 2023. — Vol. 23. Issue 1. № 1.
• 3 Stepanenko S.O., Evdokimova V.V., Petrov M.V. etc. Color imaging using a system based on 3 diffractive lenses // Computer Optics 2023. — Vol. 47. Issue 5. № 5. — P. 716-724

2021

• 1 Evdokimova V.V., Petrov M.V., Klyueva M.A. etc. Deep learning-based video stream reconstruction in mass-production diffractive optical systems // Computer Optics 2021. — Vol. 45. Issue 1. — P. 130-141

2020

• 1 Evdokimova V., Petrov M., Klyueva M. etc. Study of GAN-based image reconstruction for diffractive optical systems // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —

2019

• 1 Maklashov V.A., Piganov M.N., Petrov M.V. Simulation of transition matrix and strip lines of microwave switch // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 4.
• 2 Nikonorov A.V., Skidanov R.V., Kutikova V.V. etc. Towards multi-aperture imaging using diffractive lens // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11146.
• 3 Nikonorov A.V., Skidanov R.V., Evdokimova V.V. etc. Deep learning-based image reconstruction for multi-aperture diffractive lens // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 5.
• 4 Nikonorov A., Evdokimova V., Petrov M. etc. Deep learning-based imaging using single-lens and multi-aperture diffractive optical systems // Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. — 2019. — P. 3969-3977

2018

• 1 Kazanskiy N.L., Morozov A.A., Nikonorov A.V. etc. Experimental study of optical characteristics of a satellite-based Offner hyperspectrometer // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10774.
• 2 Nikonorov A.V., Petrov M.V., Bibikov S.A. etc. Toward Ultralightweight Remote Sensing with Harmonic Lenses and Convolutional Neural Networks // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018. — Vol. 11. Issue 9. — P. 3338-3348
• 3 Nikonorov A., Petrov M., Bibikov S. etc. Deep learning-based enhancement of hyperspectral images using simulated ground truth // 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018. — 2018. —

2017

• 1 Nikonorov A.V., Petrov M.V., Bibikov S.A. etc. Image restoration in diffractive optical systems using deep learning and deconvolution // Computer Optics 2017. — Vol. 41. Issue 6. — P. 875-887
• 2 Petrov M., Bibikov S., Yuzifovich Y. etc. Color correction with 3D lookup tables in diffractive optical imaging systems // Procedia Engineering. — 2017. — Vol. 201. — P. 73-82
• 3 Nikonorov A.V., Petrov M.V., Bibikov S.A. etc. Реконструкция изображений в дифракционно-оптических системах на основе сверточных нейронных сетей и обратной свертки // Computer Optics 2017. — Vol. 41. № 6. — P. 875-887
• 4 Nikonorov A., Petrov M., Yakimov P. etc. Evaluating imaging quality of the offner hyperspectrometer // 2016 9th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2016. — 2017. —

2016

• 1 Nikonorov A., Kolsanov A., Petrov M. etc. Vessel segmentation for noisy CT data with quality measure based on single-point contrast-to-noise ratio // Communications in Computer and Information Science. — 2016. — Vol. 585. — P. 490-507
• 2 Nikonorov A., Petrov M., Bibikov S. etc. Comparative evaluation of deblurring techniques for Fresnel lens computational imaging // Proceedings - International Conference on Pattern Recognition. — 2016. — P. 775-780

2015

• 1 Nikonorov A., Skidanov R., Fursov V. etc. Fresnel lens imaging with post-capture image processing // IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. — 2015. — Vol. 2015-October. — P. 33-41
• 2 Nikonorov A., Bibikov S., Petrov M. etc. Computational correction for imaging through single fresnel lenses // SIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015. — 2015. — P. 68-75
• 3 Nikonorov A., Kolsanov A., Petrov M. etc. Contrast-to-noise based metric of denoising algorithms for liver vein segmentation // SIGMAP 2015 - 12th International Conference on Signal Processing and Multimedia Applications, Proceedings; Part of 12th International Joint Conference on e-Business and Telecommunications, ICETE 2015. — 2015. — P. 59-67

2013

• 1 Nikonorov A., Petrov M., Yakimov P. Traffic sign detection on GPU using color shape regular expressions // Proceedings of the 4th International Workshop on Image Mining. Theory and Applications, IMTA 2013, In Conjunction with VISIGRAPP 2013. — 2013. — P. 63-72

ВАК

2017

• 1 Никоноров А.В., Петров М.В., Бибиков С.А. и др. Реконструкция изображений в дифракционно-оптических системах на основе сверточных нейронных сетей и обратной свертки // Компьютерная оптика. — 2017. — Т. 41. № 6. — С. 875-887

Другие

2020

• 1 Евдокимова В.В., Петров М.В., Клюева М.А. и др. Исследование генеративно-состязательных нейронных сетей для решения задачи реконструкции изображений в дифракционно-оптических системах // VI Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2020). — 2020. — Т. 4. — С. 305-311

2019

• 1 Никоноров А.В., Скиданов Р.В., Евдокимова В.В. и др. Исследование мультиапертурных систем на основе дифракционной оптики и глубокого обучения // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — С. 993-1000
• 2 Маклашов В.А., Пиганов М.Н., Петров М.В. Моделирование матрицы переходов и полосковых линий СВЧ коммутатора // V Международная конференция и молодёжная школа «Информационные технологии и нанотехнологии» (ИТНТ-2019). — 2019. — Т. 3. — С. 199-206