For citations:
Sizikov V.S., Rushchenko N.G. New sustainable methods for distorted image recovering. Journal of Instrument Engineering. 2023;66(7):559-567. (In Russ.) https://doi.org/10.17586/0021-3454-2023-66-7-559-567
Fullscreen
Popular articles
Vol 67, No 11 (2024)
Vol 68, No 4 (2025)
Vol 67, No 9 (2024)
Vol 67, No 9 (2024)
Vol 67, No 1 (2024)
Vol 67, No 9 (2024)
Article Tools
Email this article (Login required)
Email the author (Login required)
Email this article (Login required)
Email the author (Login required)
About the Authors
Keywords
M-sequences
absorption coefficient
aircraft
artificial intelligence
classification
concentration
correlation function
cyber-physical systems
decimation indices
deep learning
deformation
finite fields
mathematical model
neural networks
optical fiber
optimization
roughness
sample
spacecraft
spectrophotometer
verification
Address for correspondence: 197101, Russian Federation, St. Petersburg, Kronverksky ave., 49, litera A, ITMO University
Tel/Fax +7(812) 480 02 73
E-mail: pribor@itmo.ru
