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Control and acquisition of data from camera sensor OV2312
Kováč, Dávid ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This bachelor thesis deals with the implementation of a driver for the camera sensor OV2312 into the libcamera framework, with the creation of an API interface that allows direct frame capture from a camera in the C++ language and with the creation of a program for demosaicing raw data from the camera sensor for the Raspberry Pi platforms. The aim of this thesis is not only the creation of software that would allow the camera sensor OV2312 to work with Raspberry Pi computers, but will also provide extended control options. The theoretical part describes the single board computers Raspberry Pi, the Libcamera library, the demosaicing process and the troubleshooting procedure. The output of the thesis is a modified Libcamera library that allows the user to capture images and change the parameters of the camera sensor. The created library for direct access to the camera in the C++ language allows to expand the capabilities of the camera sensor. The program for demosaicing provides the user the ability to convert raw data into images.
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Demosaicing as an ill-posed inverse problem
Mariničová, Veronika ; Šroubek, Filip (advisor) ; Hnětynková, Iveta (referee)
Color information of a scene is only recorded partially by a digital camera.Specifically, only one of the red, green, and blue color components is sampled at each pixel.The missing color values must be estimated － a process called demosaicing. Demosaicing can be solved as an individual step in the image processing pipeline. In this case, any errors and artefacts produced by this step are carried over into further steps in the image processing pipeline and are possibly magnified. Alternatively, we can try to resolve several degradations at once in a joint solution, which eliminates this effect. We present one such solution, that in addition to demosaicing, also jointly solves denoising, deconvolution, and super-resolution in the form of a convex optimization problem. We provide an overview of demosaicing methods and evaluate the results from our solution against selected existing methods.
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