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Video stream objective quality evaluation in MATLAB
Noghe, Petr ; Slanina, Martin (referee) ; Polák, Ladislav (advisor)
This work deals with the picture and video objective quality evaluation in MATLAB. The first part of this work describes the methods of the assessment of picture and video quality. The second part focused on the introduction of the source image coding. For the objective image and video quality evaluation an appropriate application in MATLAB was created. For the testing of the created application a several pictures and videos with different properties were used. Finally, obtained results are evaluated and discussed.
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Test form evaluation by OCR
Noghe, Petr ; Fliegel, Karel (referee) ; Kaller, Ondřej (advisor)
This thesis deals with the evaluation forms using optical character recognition. Image processing and methods used for OCR is described in the first part of thesis. In the practical part is created database of sample characters. The chosen method is based on correlation between patterns and recognized characters. The program is designed in a graphical environment MATLAB. Finally, several forms are evaluated and success rate of the proposed program is detected.
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Video stream objective quality evaluation in MATLAB
Noghe, Petr ; Slanina, Martin (referee) ; Polák, Ladislav (advisor)
This work deals with the picture and video objective quality evaluation in MATLAB. The first part of this work describes the methods of the assessment of picture and video quality. The second part focused on the introduction of the source image coding. For the objective image and video quality evaluation an appropriate application in MATLAB was created. For the testing of the created application a several pictures and videos with different properties were used. Finally, obtained results are evaluated and discussed.
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Test form evaluation by OCR
Noghe, Petr ; Fliegel, Karel (referee) ; Kaller, Ondřej (advisor)
This thesis deals with the evaluation forms using optical character recognition. Image processing and methods used for OCR is described in the first part of thesis. In the practical part is created database of sample characters. The chosen method is based on correlation between patterns and recognized characters. The program is designed in a graphical environment MATLAB. Finally, several forms are evaluated and success rate of the proposed program is detected.
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