Improving noise immunity of homography superposition for television signals

The algorithm of homography superposition of the television signals was shown in this article. The algorithm allows improving noise immunity for homography parameters of television signal with textural fragments. The core of the estimation procedure of homography parameters for image superposition i...

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Main Author: Alfiya A. Diyazitdinova
Format: Article
Language:English
Published: Povolzhskiy State University of Telecommunications & Informatics 2021-05-01
Series:Физика волновых процессов и радиотехнические системы
Subjects:
Online Access:https://journals.ssau.ru/pwp/article/viewFile/8697/8251
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author Alfiya A. Diyazitdinova
author_facet Alfiya A. Diyazitdinova
author_sort Alfiya A. Diyazitdinova
collection DOAJ
description The algorithm of homography superposition of the television signals was shown in this article. The algorithm allows improving noise immunity for homography parameters of television signal with textural fragments. The core of the estimation procedure of homography parameters for image superposition is the matching of the feature points. The feature points are local extremes of the pixel brightness of the image. The matching is defined by the maximum correlation coefficient between a region of the image of a neighbor area of the feature point. The log-polar system of the images provides an invariant correlation of scale and rotate are proportional offsets along the axis in this coordinate system. The noise immunity is provided due to the developing procedure of removing feature points in the textural region. This procedure leads to decreasing probability of error matching of the feature points. The numerical modeling shows high noise immunity of the developed procedure in comparing the current researches.
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spelling doaj.art-aa9c986da550464d823b11d486e1ad992023-12-22T10:31:41ZengPovolzhskiy State University of Telecommunications & InformaticsФизика волновых процессов и радиотехнические системы1810-31892782-294X2021-05-01241586610.18469/1810-3189.2021.24.1.58-667865Improving noise immunity of homography superposition for television signalsAlfiya A. Diyazitdinova0https://orcid.org/0000-0001-8940-4543Povolzhskiy State University of Telecommunications and InformaticsThe algorithm of homography superposition of the television signals was shown in this article. The algorithm allows improving noise immunity for homography parameters of television signal with textural fragments. The core of the estimation procedure of homography parameters for image superposition is the matching of the feature points. The feature points are local extremes of the pixel brightness of the image. The matching is defined by the maximum correlation coefficient between a region of the image of a neighbor area of the feature point. The log-polar system of the images provides an invariant correlation of scale and rotate are proportional offsets along the axis in this coordinate system. The noise immunity is provided due to the developing procedure of removing feature points in the textural region. This procedure leads to decreasing probability of error matching of the feature points. The numerical modeling shows high noise immunity of the developed procedure in comparing the current researches.https://journals.ssau.ru/pwp/article/viewFile/8697/8251noise immunityhomographysuperpositiontelevisionlog-polarfeature pointmatching
spellingShingle Alfiya A. Diyazitdinova
Improving noise immunity of homography superposition for television signals
Физика волновых процессов и радиотехнические системы
noise immunity
homography
superposition
television
log-polar
feature point
matching
title Improving noise immunity of homography superposition for television signals
title_full Improving noise immunity of homography superposition for television signals
title_fullStr Improving noise immunity of homography superposition for television signals
title_full_unstemmed Improving noise immunity of homography superposition for television signals
title_short Improving noise immunity of homography superposition for television signals
title_sort improving noise immunity of homography superposition for television signals
topic noise immunity
homography
superposition
television
log-polar
feature point
matching
url https://journals.ssau.ru/pwp/article/viewFile/8697/8251
work_keys_str_mv AT alfiyaadiyazitdinova improvingnoiseimmunityofhomographysuperpositionfortelevisionsignals