|
|
Picture correction
Sedlo, Petr ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This work is focussed on different unwanted effects that damage a digitally acquired image. An image acquired using a digital camera can suffer from a series of defects. First, the noise is concerned. It occures due to discretisation. Next, there are the defects including vignetting, radial image distortion, chromatic aberration. In my thesis I also worked on backlight image compensation and panorama creation from an image sequence. For backlight images we need to increase the brightness in the dark parts of the image, so that the details became more visible. At panorama creation we are careful about brightness evenness in partial images, which is usually not conserved and consequently we try to find a suitable boundary-line to connect images and smooth it. The fundamental part of my work was writing the algorithms that are able to compensate these defects at least partly. For this aim I took use of the Matlab environment.
|
|
|
Simulation of Lens Features
Kučiš, Michal ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
Computer vision algorithms typically process real world image data acquired by cameras or video cameras. Such image data suffer from imperfections cause by the acquisition process. This paper focuses on simulation of the acquisition process on simulation of the acquisition process in order to enable rendering of images based on a 3D generated model. Imperfections, such as geometry distorion, chromatic aberration, depth of field effect, motion blur, vignetting and lens flare are considered.
|
|
|
Virtual Reality Lens Image Distortion Correction
Procházka, Tomáš ; Wilkie, Alexander (advisor) ; Horáček, Jan (referee)
Lenses in virtual reality headsets make it possible to put displays close to users' eyes and they provide users with wider field of view. However, they also distort the displayed image. Providing we know the lens distortion properties, it is possible to compensate for the distortion by displaying an image that is distorted in the opposite way. This thesis focuses on measurement of the distortion for an arbitrarily complex lens, while also considering chromatic aberration. A system capable of measuring of the distortion using just a camera attached to the virtual reality headset is designed and implemented. It is based on pattern detection and comparison of relative positions of points on the display and their correspondences in the distorted image. The result is a 2D distortion map that can be used to transform images such that they appear undistorted to the virtual reality headset users.
|
|
|
Picture correction
Sedlo, Petr ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This work is focussed on different unwanted effects that damage a digitally acquired image. An image acquired using a digital camera can suffer from a series of defects. First, the noise is concerned. It occures due to discretisation. Next, there are the defects including vignetting, radial image distortion, chromatic aberration. In my thesis I also worked on backlight image compensation and panorama creation from an image sequence. For backlight images we need to increase the brightness in the dark parts of the image, so that the details became more visible. At panorama creation we are careful about brightness evenness in partial images, which is usually not conserved and consequently we try to find a suitable boundary-line to connect images and smooth it. The fundamental part of my work was writing the algorithms that are able to compensate these defects at least partly. For this aim I took use of the Matlab environment.
|
|
|
Simulation of Lens Features
Kučiš, Michal ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
Computer vision algorithms typically process real world image data acquired by cameras or video cameras. Such image data suffer from imperfections cause by the acquisition process. This paper focuses on simulation of the acquisition process on simulation of the acquisition process in order to enable rendering of images based on a 3D generated model. Imperfections, such as geometry distorion, chromatic aberration, depth of field effect, motion blur, vignetting and lens flare are considered.
|
guest ::
