Techniky používané pro ostření a rozmazávání obrazu
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Date
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Lichý, Stanislav
Advisor
Referee
Mark
C
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Vysoké učení technické v Brně. Fakulta informačních technologií
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Abstract
Táto bakalárska práca sa zaoberá metódami filtrovania digitálneho obrazu. Obsahuje základné pojmy dôležité pre pochopenie problematiky, ako napríklad digitálny obraz, pixel, farebné priestory, šum a typy šumov. V práci sú popísané dôležité algoritmy ostrenia obrazu a redukcie šumu v obraze. Je vysvetlený princíp činnosti týchto algoritmov, sú diskutované dosahované výsledky, použiteľnosť a a časová náročnosť týchto algoritmov. Vybrané algoritmy boli v práci implementované v programovacom jazyku C++ s využitím voľne dostupnej knižnice OpenCV.
This bachelor's thesis deals with methods of digital image filtering. First of all, it contains basic notions necessary to understand problems, such as digital image, pixel, color spaces, noise and noise types. Secondly, important algorithms of image sharpening and noise reduction are described. Then, algorithms working principles are explained. Achieved results are analyzed together with a discussion about algorithms suitability and their time complexity. Lastly, selected algorithms are implemented by C++ programming language, using an open source library OpenCV.
This bachelor's thesis deals with methods of digital image filtering. First of all, it contains basic notions necessary to understand problems, such as digital image, pixel, color spaces, noise and noise types. Secondly, important algorithms of image sharpening and noise reduction are described. Then, algorithms working principles are explained. Achieved results are analyzed together with a discussion about algorithms suitability and their time complexity. Lastly, selected algorithms are implemented by C++ programming language, using an open source library OpenCV.
Description
Keywords
digitálny obraz , pixel , farebný priestor , šum , ostrenie , hrana , Unsharp Masking , Laplaceov operátor , Mean Filtering , Median Filtering , Gaussian Filtering , Bilateral Filtering , digital image , pixel , color space , noise , sharpening , edge , Unsharp Masking , Laplace operator , Mean Filtering , Median Filtering , Gaussian Filtering , Bilateral Filtering
Citation
LICHÝ, S. Techniky používané pro ostření a rozmazávání obrazu [online]. Brno: Vysoké učení technické v Brně. Fakulta informačních technologií. .
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cs
Study field
Informační technologie
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Result of defence
práce byla úspěšně obhájena