Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure

Iakov Korovin; Maxim Khisamutdinov

doi:10.1117/12.2559498

31 January 2020 Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure

Iakov Korovin, Maxim Khisamutdinov

Author Affiliations +

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332P (2020) https://doi.org/10.1117/12.2559498
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

In the paper we described a method for video sequence processing, which is resistant to shifts of an optical source under noisy conditions of video sequence individual frames. The noisiness of frames means blurring of individual frames of a video sequence due to sharp shifts of an optical source, data transfer artifacts or zoom operation during autofocus and consequently - as a result some defocused images series can be obtained. The novelty of the method lies in the combination of the approach of analyzing descriptors of local features of the image of graph algorithms and extrapolating the values of the camera offset by the least squares method at the moments of noise in the individual frames of the video sequence. We have depicted several experimental research results of the proposed method and a numerical comparison of qualitative characteristics with the existing ones.

Citation Download Citation

Iakov Korovin and Maxim Khisamutdinov "Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332P (31 January 2020); https://doi.org/10.1117/12.2559498

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available