AI driven optics

Step up your game to seeing
further than anyone else with our smart lens.

High quality restoration

High quality restoration

Apart from unique configuration of the fresnel lens in partnership with Aligned Research Group we provide the special method of distortion correction based on robust convolutional neural network.

Our methods give exceptional results in obtaining extra quality images in reasonable time.

The nature of the distortions is nonlinear. However, the best nonlinear filter for image reconstruction is our deep convolutional neural network, which gives us the better reconstruction without any visible artifacts.

Dr. Kazansky Nikolay Lvovich Dr. Kazansky Nikolay Lvovich
Academician Soifer Victor Aleksandrovich Academician Soifer Victor Aleksandrovich


1. A. Nikonorov, M. Petrov, S. Bibikov, Y. Yuzifovich, P. Yakimov, N. Kazanskiy, R. Skidanov, and V. Fursov, “Comparative Evaluation of Deblurring Techniques for Fresnel Lens Computational Imaging,” in Proc. ICPR 2016. https://doi.org/10.1109/ICPR.2016.7899729<

2. M. Petrov, S. Bibikov, Y. Yuzifovich, R. Skidanov, A.Nikonorov, “Color correction with 3D lookup tables in diffractive optical imaging systems”, Procedia Engineering, 2016

3. A. Nikonorov, M. Petrov, P. Yakimov, V. Blank, S. Karpeev, N. Kazanskiy, R. Skidanov, “Evaluating imaging quality of the offner hyperspectrometer”, 9th IEEE IAPR Workshop on Pattern Recogniton in Remote Sensing, PRRS 2016. https://doi.org/10.1109/PRRS.2016.7867020

4. Goshin, Y.V., Fursov, V.A., Iterative procedure for camera parameters estimation using extrinsic matrix decomposition, Proceedings of SPIE, Volume 9807, 2016, № 980713. http://dx.doi.org/10.1117/12.2234789

5. A. Nikonorov, S. Bibikov, V. Myasnikov, Y. Yuzifovich, and V. Fursov, “Correcting color and hyperspectral images with identification of distortion model,” Pattern Recogn. Lett., vol.83, pp. 178-187, 2016. https://doi.org/10.1016/j.patrec.2016.06.027

6. Nikonorov A., Skidanov R., Petrov M., Bibikov S., Fursov V., Yuzifovich Yu., “Fresnel Lens Imaging with Post-Capture Image Processing”, IEEE CVPR Computational Cameras and Displays workshop, Boston, 2015 https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W10/papers/Nikonorov_Fresnel_Lens_Imaging_2015_CVPR_paper.pdf

7. A. Nikonorov, S. Bibikov, M. Petrov, Y. Yuzifovich, Vladimir Fursov, Computational Correction for Imaging Through Single Fresnel Lenses, in Proc. of the 12th Intl. Conf. on Signal Processing and Multimedia Applications, 2015. http://ieeexplore.ieee.org/document/7518113/

8. L. L. Doskolovich, P. N. Dyachenko, A. V. Gavrilov, D. I. Golovashkin, S. N. Khonina, V. V. Kotlyar, A. A. Kovalev, A. G. Nalimov, D. V. Nesterenko, V. S. Pavelyev, R. V. Skidanov, V. A. Soifer, Y. O. Shuyupova, Diffractive Nanophotonics, V. A. Soifer, ed., 704 pp. (CRC Press, 2014),ISBN: 9781466590694. https://www.crcpress.com/Diffractive-Nanophotonics/Soifer/p/book/9781466590694