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Sensor Security - Verification of Image Authenticity
Juráček, Ivo ; Španěl, Michal (referee) ; Zemčík, Pavel (advisor)
Diploma thesis is about image sensor security. Goal of the thesis was study data integrity gained from the image sensors. Proposed method is about source camera identification from noise characteristics in image sensors. Research was about influence of denoising algorithms applied to digital images, which was acquired from 15 different image sensors. Finally the statistical evaluation had been done from computed results.
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Software for CCD camera used for electroluminescence
Kuttelwascher, Pavel ; Křivík, Petr (referee) ; Vaněk, Jiří (advisor)
This thesis studies the optimization of diagnosis defects of the photovoltaic cells in the darkroom by the help of new operating software for the used CCD camera. First the present situation and the possible solutions are analyzed. Then the attention is paid to the theory of light-sensitive CCD sensors, their construction, their principles of operation and the theory of scanning images. The thesis also focuses on the analysis of the function of the operating libraries which were provided by the equipment producer. The key part is the development of the application for the camera G2-3200 of the "Moravske pristroje" company which significantly accelerates the work with the camera in the darkroom.
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Car On-Board Videocamera with Telemetry Recording
Špaňhel, Petr ; Šimek, Václav (referee) ; Bartoš, Pavel (advisor)
This master thesis deals with the design devices for automobile driving record with the information on telemetry. Camera placed in the vehicle captures the traffic before the accident, can facilitate the decisions about the offender. The basic element of the camera is DaVinci development kit has been developed for digital video applications. The aim of this thesis is to find ways to effectively implement basic algorithms for processing and evaluation of the scanned image using a single-chip microprocessor.
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Influence of imaging sensors properties on the quality of the quantitative phase image reconstruction
Šulc, Václav ; Antoš, Martin (referee) ; Dostál, Zbyněk (advisor)
This bachelor thesis is focused on imaging sensors noise characteristics and their impact on quantitative phase imaging. From available sensors the darkframes were acquired and analyzed. Computed data of noise standard deviation were used to simulate synthetic holograms for reconstruction of quantitative phase images. A camera Basler acA2040-180km was found to be a most suitable device for holography. The design, fabrication and testing of an effective cooling system for such a device proved to have even better noise characteristics.
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Digital camera noise analysis
Weszter, Juraj ; Druckmüller, Miloslav (referee) ; Štarha, Pavel (advisor)
In pictures taken with digital cameras, undesirable noise in the form of pixel-to-pixel image intensity variance is present. This thesis, after an introduction to digital image processing, describes the main sources of such noise and subsequently analyses image data recovered from selected camera devices via stochastic methods. Ultimately, a C# software implementing the portrayed methods is briefly presented.
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3D triangulation technique for object reconstruction
Pospíšil, Petr ; Richter, Miloslav (referee) ; Janáková, Ilona (advisor)
My paper work deals with the 3D active triangular method of building reconstruction. First, there was a measuring triangular system created. Then the way of its automatic calibration was proposed and consequently also performed. Also algorithms for the automatic detection of the sample projected were proposed. Algoriths were presented with several sample buildings. The result of these algorithms are 3D models of individual buildings. In the end achieved results nd restrictions of the system proposed were assessed.
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Digital filters for image processing
Všetička, Václav ; Říha, Kamil (referee) ; Číka, Petr (advisor)
This work is dedicated to methods for editing the digital image. When you need an suitable algorithm to highlight the desired information from the image, or conversely, suppress disturbing elements in the picture. This work describes a few most basic image editing filters to use common in technical and medical practice. The result of this work are implementing some filters into Java.
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Identification of Persons in the Video from Quadcopter
Mojžiš, Tomáš ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
The aim of this thesis is to make an application capable of recognizing people's faces based on a user-created database in drone footage. The database is made of pictures of people that should be identified in the footage. The output of this application is a video where the demanded people are labeled with their names. Some face detection and recognition state of the art solutions based on neural networks are compared in this work. The final solution consists of the MTCNN detector and a face embedding extractor based on ArcFace. The created multiplatform application allows to recognize people in drone footage even with face width of less than 20 pixels. The final solution was tested on a private dataset comprised of drone footage.
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