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Digital Image Noise Reduction Methods
Čišecký, Roman ; Říha, Kamil (referee) ; Číka, Petr (advisor)
The master's thesis is concerned with digital image denoising methods. The theoretical part explains some elementary terms related to image processing, image noise, categorization of noise and quality determining criteria of denoising process. There are also particular denoising methods described, mentioning their advantages and disadvantages in this paper. The practical part deals with an implementation of the selected denoising methods in a Java, in the environment of application RapidMiner. In conclusion, the results obtained by different methods are compared.
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Java applets for image processing
Čišecký, Roman ; Číka, Petr (referee) ; Šmirg, Ondřej (advisor)
The bachelor´s thesis is concerned with image processing techniques such as calculating his-togram and its equalization, image filtering in frequency and time domain, creating panoramic pictures and creating a disparity map This thesis describes the various methods of image processing and their use in practice. The last part deals with creating particular applications for image processing and its transformation to applets executable on the web.
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Java applets for image processing
Čišecký, Roman ; Číka, Petr (referee) ; Šmirg, Ondřej (advisor)
The bachelor´s thesis is concerned with image processing techniques such as calculating his-togram and its equalization, image filtering in frequency and time domain, creating panoramic pictures and creating a disparity map This thesis describes the various methods of image processing and their use in practice. The last part deals with creating particular applications for image processing and its transformation to applets executable on the web.
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|
|
Digital Image Noise Reduction Methods
Čišecký, Roman ; Říha, Kamil (referee) ; Číka, Petr (advisor)
The master's thesis is concerned with digital image denoising methods. The theoretical part explains some elementary terms related to image processing, image noise, categorization of noise and quality determining criteria of denoising process. There are also particular denoising methods described, mentioning their advantages and disadvantages in this paper. The practical part deals with an implementation of the selected denoising methods in a Java, in the environment of application RapidMiner. In conclusion, the results obtained by different methods are compared.
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