RUS  ENG JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2017, Volume 41, Issue 5, Pages 701–711 (Mi co440)  

IMAGE PROCESSING, PATTERN RECOGNITION

Estimation of super-resolution imaging errors based on the use of multiple frames

A. V. Kokoshkin, V. A. Korotkov, K. V. Korotkov, E. P. Novichikhin

The Kotel'nikov Institute of Radio-engineering and Electronics (IRE) of the Russian Academy of Sciences, Fryazino, Russia

Abstract: This work shows the possibility of estimating errors of super-resolution imaging based on the use of several frames. The possibility of identifying areas with large interpolation errors is shown, based only on the interpolation method and interpolated data used. The possibility of determining the necessary number of frames used for imaging from the interpolation error estimate is demonstrated. In this paper, we present both the results of interpolation of the generated test frames, the method of correlation subpixel detection of frame shifts relative to 1 frame, and the estimates of the resulting interpolation errors. It is shown that before measurements, the number of frames necessary to achieve the required level of interpolation errors can not be predicted. The proposed method allows the error value to be controlled during the measurement. It is shown that the estimation of errors of the super resolution method based on test images is not very promising, since the error value depends both on the image itself and on a set of subpixel offsets of low-resolution frames. We discuss the entire procedure of obtaining the results of the work, starting from the test image generation and ending with the conclusions.

Keywords: interpolation, estimation error, experimental data processing.

DOI: https://doi.org/10.18287/2412-6179-2017-41-5-701-711

Full text: PDF file (1246 kB)
Full text: http://www.computeroptics.smr.ru/.../410513.html
References: PDF file   HTML file

Received: 10.06.2016
Accepted:01.06.2017

Citation: A. V. Kokoshkin, V. A. Korotkov, K. V. Korotkov, E. P. Novichikhin, “Estimation of super-resolution imaging errors based on the use of multiple frames”, Computer Optics, 41:5 (2017), 701–711

Citation in format AMSBIB
\Bibitem{KokKorKor17}
\by A.~V.~Kokoshkin, V.~A.~Korotkov, K.~V.~Korotkov, E.~P.~Novichikhin
\paper Estimation of super-resolution imaging errors based on the use of multiple frames
\jour Computer Optics
\yr 2017
\vol 41
\issue 5
\pages 701--711
\mathnet{http://mi.mathnet.ru/co440}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-5-701-711}


Linking options:
  • http://mi.mathnet.ru/eng/co440
  • http://mi.mathnet.ru/eng/co/v41/i5/p701

    SHARE: VKontakte.ru FaceBook Twitter Mail.ru Livejournal Memori.ru


    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles
  • Computer Optics
    Number of views:
    This page:103
    Full text:34
    References:17

     
    Contact us:
     Terms of Use  Registration  Logotypes © Steklov Mathematical Institute RAS, 2020