Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Increasing quality of facial images using sequence of images
Svorad, Adam ; Mezina, Anzhelika (oponent) ; Burget, Radim (vedoucí práce)
Master’s thesis delves into the field of face super-resolution. It aims to review novel approaches to single-frame image sharpening and image editing in the theoretical part of the work. Practical part will focus on approaches to image reconstruction from a sequence of damaged images. Multiple multi-frame neural network models will be implemented and evaluated. As alternative option, a suite of image editing tools will be presented as well. These tools will utilize most modern image editing techniques to merge visual features of faces from multiple input images into a single output image. At the end of the thesis, all methods will be compared to each other.
Increasing quality of facial images using sequence of images
Svorad, Adam ; Mezina, Anzhelika (oponent) ; Burget, Radim (vedoucí práce)
Master’s thesis delves into the field of face super-resolution. It aims to review novel approaches to single-frame image sharpening and image editing in the theoretical part of the work. Practical part will focus on approaches to image reconstruction from a sequence of damaged images. Multiple multi-frame neural network models will be implemented and evaluated. As alternative option, a suite of image editing tools will be presented as well. These tools will utilize most modern image editing techniques to merge visual features of faces from multiple input images into a single output image. At the end of the thesis, all methods will be compared to each other.

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