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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Image Enhancement Using Depth Maps
 Krbec, Jakub ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The thesis is dealing with methods for enhance photography captured in nature usingsynthetic depth map. Depth map is obtained from digital terrain model with precision inthe order of meters. Using depth map we can eliminate undesirable effects of weather suchas fog or we can simulate depth of field based on parameters of cameras and lenses oreventually we can simulate unreachable parameters of lenses. The method for eliminatingnegative influence of atmosphere (dehaze) is implemented by combination of available depthmap and depth map estimated directly from input photo. This combination is mainly usedif available depth map is not accurate enough. The method for simulating different depth offield is implemented by convolution of circle kernel which better approximates the shape ofthe camera aperture than Gaussian kernel. Experimental results show that using syntheticdepth map we can successfully simulate small depth of field in outdoor photos and eliminateundesirable influences of atmosphere.
Detailed record
Image Enhancement Using Depth Maps
 Krbec, Jakub ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The thesis is dealing with methods for enhance photography captured in nature usingsynthetic depth map. Depth map is obtained from digital terrain model with precision inthe order of meters. Using depth map we can eliminate undesirable effects of weather suchas fog or we can simulate depth of field based on parameters of cameras and lenses oreventually we can simulate unreachable parameters of lenses. The method for eliminatingnegative influence of atmosphere (dehaze) is implemented by combination of available depthmap and depth map estimated directly from input photo. This combination is mainly usedif available depth map is not accurate enough. The method for simulating different depth offield is implemented by convolution of circle kernel which better approximates the shape ofthe camera aperture than Gaussian kernel. Experimental results show that using syntheticdepth map we can successfully simulate small depth of field in outdoor photos and eliminateundesirable influences of atmosphere.
Detailed record

See also: similar author names
3 Krbec, Jan
1 Krbec, Jiří
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