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Speckle noise suppression methods in ultrasound images
Tvarůžek, Marek ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
This diploma thesis deals with the methods of despeckling in ultrasound images. Ultrasound imaging and related artifacts are described in more details. Ultrasound imaging has its pros and cons, where speckle noise is a disadvantage to be solved. Models of origin of this specific noise are referred too. Practical part of this thesis aims on filtering speckled images by basic and advanced filtering methods as are linear filtering, median filtering, application of Frost filter, QGDCT, geometric filtering, anisotropic diffusion filtering and filtering based on wavelet transformation. Results are compared on the basis of objective criteria.
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Techniques Used for Image Blurring and Sharpening
Lichý, Stanislav ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
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.
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Techniques Used for Image Blurring and Sharpening
Lichý, Stanislav ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
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.
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|
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Speckle noise suppression methods in ultrasound images
Tvarůžek, Marek ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
This diploma thesis deals with the methods of despeckling in ultrasound images. Ultrasound imaging and related artifacts are described in more details. Ultrasound imaging has its pros and cons, where speckle noise is a disadvantage to be solved. Models of origin of this specific noise are referred too. Practical part of this thesis aims on filtering speckled images by basic and advanced filtering methods as are linear filtering, median filtering, application of Frost filter, QGDCT, geometric filtering, anisotropic diffusion filtering and filtering based on wavelet transformation. Results are compared on the basis of objective criteria.
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