Open AccessUsing integer and fractional measure for processing and recognitions of small and distorted images in optical location and medicine
Author(s) -
Potapov Alexander A.,
German Vitaly A.,
Pakhomov Andrey A.,
Grachev Vladimir I.,
Zhang Wei,
Feng Tianhua
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0638
Subject(s) - distortion (music) , measure (data warehouse) , object (grammar) , integer (computer science) , fourier transform , base (topology) , process (computing) , computer science , inverse problem , inverse , computer vision , artificial intelligence , algorithm , mathematics , data mining , mathematical analysis , telecommunications , geometry , amplifier , bandwidth (computing) , programming language , operating system
The present work develops the mathematical base of ill‐posed inverse problems in optics, as well as a method of processing and reconstructing scenes from incomplete information of their Fourier spectra. This problem is a part of the general problem of the eliminating the influence atmospheric and optical distortion when finding and registering an object at large distances under bad atmospheric conditions. The designed programmed methods are also used to process medical images.