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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.
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Correction of Geometric Distortion in Photographs
Cyprich, Miroslav ; Seeman, Michal (referee) ; Přibyl, Bronislav (advisor)
The resulting image of photographing is usually geometrically distorted. The most common of such distortions are called pincushion or barrel distortion, which can cause disturbing impression in photographs. There are currently several applications that allow to correct the geometrical distortion, but [proprietary, unergonomic, ...]. This paper describes the current state of knowledge in the field of geometric distortion correction and proposes a new software. An application with graphical user interface, whitch is focused on simplicity and ergonomics. It presents two possibilities of geometric distortion correction in photographs. Functionality and usability of the application has been tested and validated on a sample of real users
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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.
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Correction of Geometric Distortion in Photographs
Cyprich, Miroslav ; Seeman, Michal (referee) ; Přibyl, Bronislav (advisor)
The resulting image of photographing is usually geometrically distorted. The most common of such distortions are called pincushion or barrel distortion, which can cause disturbing impression in photographs. There are currently several applications that allow to correct the geometrical distortion, but [proprietary, unergonomic, ...]. This paper describes the current state of knowledge in the field of geometric distortion correction and proposes a new software. An application with graphical user interface, whitch is focused on simplicity and ergonomics. It presents two possibilities of geometric distortion correction in photographs. Functionality and usability of the application has been tested and validated on a sample of real users
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