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GPU Image Processing Library
Čermák, Michal ; Španěl, Michal (referee) ; Smrž, Pavel (advisor)
This work is concerned with architecture of recent Nvidia graphics cards and application programming interface CUDA. That is used to create accelerated image processing library. It place emphasis on testing performance gain compassion with high optimized and used OpenCv library.
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Image Processing in FPGA
Přibyl, Bronislav ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
Images for scientific purposes are taken by optical devices, such as microscopes, cameras etc., which usually consist of system of lenses and optical sensor. Most lenses suffer from various distortions. Geometrical distortion may not be acceptable for example for precise distance measurement in the image. This thesis describes fast algorithm for separable image resampling capable of correcting smooth geometrical distortions caused by lenses. An FPGA implementation of this algorithm is also described.
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Image Processing in FPGA
Přibyl, Bronislav ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
Images for scientific purposes are taken by optical devices, such as microscopes, cameras etc., which usually consist of system of lenses and optical sensor. Most lenses suffer from various distortions. Geometrical distortion may not be acceptable for example for precise distance measurement in the image. This thesis describes fast algorithm for separable image resampling capable of correcting smooth geometrical distortions caused by lenses. An FPGA implementation of this algorithm is also described.
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|
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GPU Image Processing Library
Čermák, Michal ; Španěl, Michal (referee) ; Smrž, Pavel (advisor)
This work is concerned with architecture of recent Nvidia graphics cards and application programming interface CUDA. That is used to create accelerated image processing library. It place emphasis on testing performance gain compassion with high optimized and used OpenCv library.
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