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Title | Enhancement of low quality degraded video using haar wavelet decomposition technique |
Authors |
Gupta, P.
Gadicha, V.B. |
ORCID | |
Keywords |
haar wavelet video enhancemnet frame rate mean intensity |
Type | Conference Papers |
Date of Issue | 2017 |
URI | http://essuir.sumdu.edu.ua/handle/123456789/55756 |
Publisher | Sumy State University |
License | |
Citation | Gupta, P. Enhancement of low quality degraded video using haar wavelet decomposition technique [Текст] / P. Gupta, V.B.Gadicha // Advanced Information Systems and Technologies : proceedings of the V international scientific conference, Sumy, May 17-19 2017/ Edited by S.І. Protsenko, V.V. Shendryk. - Sumy : Sumy State University, 2017. - P. 62-65. |
Abstract |
The point recommends the general system for
video improvement, object location and following continue
at the same time in an aggressive and helpful way .Video is a
gathering of successive pictures with a consistent time
interim. So video can give more data about the article when
situations are changing regarding time. Thusly, physically
taking care of recordings are entirely unimaginable. So
there is need of a computerized gadget to handle these
recordings. Numerous calculations and innovation have
been created to robotize video improvement and checking
the article in a video document. Video improvement with
item identification and following is a one of the testing
errand in PC vision. Additionally, following of an article
essentially includes two going before steps object
identification and item representation. Object discovery is
performed to check presence of items in video and to
correctly find that article .Object following is a procedure of
dividing a district of enthusiasm from a video scene and
monitoring its movement, position and impediment. The
following is performed by observing articles' spatial and
transient changes amid a video grouping, including its
nearness, position, size, shape, and so forth. Video
improvement with article following is utilized as a part of a
few applications, for example, video reconnaissance, robot
vision, movement observing. |
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File | Size | Format | Downloads |
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Gupta_Haar.pdf | 598.28 kB | Adobe PDF | 181327516 |
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