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Web Tool for Evaluation of Multifunction Printers Using Print & Scan Method
Lipjanec, Silvester ; Matoušek, Petr (referee) ; Čejka, Rudolf (advisor)
Semestral thesis deals with the way of color management on software and hardware level of office printers. Thesis describes design and implemetation of web tool, which uses Print & Scan method for automatic evaluation printing quality of multifunction printers without any auxiliary tools. Thesis also describes creation of printing pattern needed to evaluate the printing quality, using Print & Scan method. Finally thesis describes the way of analyzing scanned pattern.
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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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Web Tool for Evaluation of Multifunction Printers Using Print & Scan Method
Lipjanec, Silvester ; Matoušek, Petr (referee) ; Čejka, Rudolf (advisor)
Semestral thesis deals with the way of color management on software and hardware level of office printers. Thesis describes design and implemetation of web tool, which uses Print & Scan method for automatic evaluation printing quality of multifunction printers without any auxiliary tools. Thesis also describes creation of printing pattern needed to evaluate the printing quality, using Print & Scan method. Finally thesis describes the way of analyzing scanned pattern.
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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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