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Web apps suporting education in computer graphics
Jalovecký, Denis ; Švento, Michal (referee) ; Rajmic, Pavel (advisor)
Master's Thesis focuses on creating three dynamic and interactive applications in JavaScript, serving as educational tools for courses centered around the creation and processing of image signals. The first application will represent a parametric curve in 3D space. The second application will explore barycentric coordinates of a 3D triangle, and the third will illustrate the Bayer filter in the context of digital photography creation.
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Restoration of missing audio signal samples using a psychoacoustic model
Švento, Michal ; Záviška, Pavel (referee) ; Mokrý, Ondřej (advisor)
This bachelor thesis deals with the reconstruction of short-time damaged audio signal. The signal is represented by sparse signal representation using discrete Gabor transform. Convex optimalization tools are used for the reconstruction. The optimalization problem is solved using the Douglas—Rachford and Chambolle—Pock algorithm. Psychoacoustic model is involved in algorithm to obtain better results in objective metrics. The comparison is realised by an objective method SDR, PEMO-Q and also subjectively.
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Audio signal restoration using the Plug-and-Play method
Švento, Michal ; Rajmic, Pavel (referee) ; Mokrý, Ondřej (advisor)
The topic of this thesis is the reconstruction of a digital audio signal that is corrupted in two ways, sample dropout and added noise. The classical approach to solving these problems are convex optimization algorithms, which are based on the sparsity of the audio signal. In this thesis, we try a new Plug-and-Play method that embeds a deep network, the denoiser, into conventional algorithms and attempt to solve these two distinct problems using a single algorithm. At the end of the paper, the algorithms are implemented and tested with the most common metrics and these results are evaluated. Modern methods have shown us that they can be more variable in the choice of parameters and offer more balanced solutions.
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Restoration of missing audio signal samples using a psychoacoustic model
Švento, Michal ; Záviška, Pavel (referee) ; Mokrý, Ondřej (advisor)
This bachelor thesis deals with the reconstruction of short-time damaged audio signal. The signal is represented by sparse signal representation using discrete Gabor transform. Convex optimalization tools are used for the reconstruction. The optimalization problem is solved using the Douglas—Rachford and Chambolle—Pock algorithm. Psychoacoustic model is involved in algorithm to obtain better results in objective metrics. The comparison is realised by an objective method SDR, PEMO-Q and also subjectively.
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