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Photo Booth
Valda, Tomáš ; Najman, Pavel (referee) ; Zemčík, Pavel (advisor)
The aim of this bachelor's thesis is to design and implement a Photo Booth application which will be primarily used on tablet devices. The thesis explains existing solutions, analyses its insufficiencies and concentrates on the choice of appropriate technology resources. It also describes the way of implementation of the external payment processing with the usage of a private virtual server and following communication with database. Constituent part of this work is a design of user interface. The outcome is a functional prototype of the application ready to be used.
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Sensor Pattern Noise Analysis and Identification
Král, Benjamin ; Trchalík, Roman (referee) ; Očenášek, Pavel (advisor)
This work is about extraction of sensor pattern noise of digital camera which is additive noise that is present in every digital photograph and which is unique for every camera. Suitable sensor pattern noise extraction methods are discussed for noise extraction and comparation with aim to find out with which camera the digital picture was taken. Best method is implemented as an application. The work describes few experiments that are reviewing the application performance based on many different photographs given to the application.
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Comparison of Conventional and New methods of Measurement and Evaluation of Luminance
Svoboda, Miloslav ; Novák,, Tomáš (referee) ; Baxant, Petr (advisor)
Because luminance is the only value to which our sight responds, its measurement becomes important in terms of ensuring the proper function of vision. Nowadays luminance measuring can be made by conventional methods, such as direct using of luminance meter. However an entirely new method of measuring luminance levels is coming. This method is based on using luminance analyzers which work using a digital photography for the analysis of luminance. This thesis deals with these issues and is divided into several chapters, which form the two main parts of the thesis, the theoretical and the practical one. The theoretical part of the thesis deals with the basics of lighting technology, as well as the principles of measuring the luminance using conventional methods. New methods of measurement, i.e. using luminance analyzers, are discussed in two chapters which analyse both the principle and characteristics of analyzers available today. In the practical part is a comparative measurement carried out – in the laboratory and in terrain – using both methods.
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Photo Noise Reduction Using Deep Neural Networks
Tichý, Jonáš ; Juránek, Roman (referee) ; Španěl, Michal (advisor)
Obrazový šum je fundamentálním problémem v digitální fotografii. Cílem této práce je studium redukce šumu ve fotografiích pomocí hlubokých neuronových sítí. Dvě vybrané metody založené na hlubokých neuronových sítích, DnCNN a BRDNet, byly implementovány a jejich výkon byl změřen v několika experimentech. Kromě toho byl navržen a proveden experiment na uživatelích s cílem vyhodnotit vnímanou kvalitu obrazu širokou veřejností. Experimenty ukázaly, že zatímco obě metody dosahují výborných výsledků v metrikách, jako je PSNR a SSIM, vnímaná vizuální kvalita ne vždy koreluje s numerickými metrikami. Výsledky prezentované v této práci zdůrazňují důležitost vhodných trénovacích dat a metrik kvality obrazu v odšumování digitálních fotografií.
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Digital Photo Processing
Zdražil, Vít ; Sumec, Stanislav (referee) ; Potúček, Igor (advisor)
This document focuses on processing of RAW image data from digital cameras. In first section is described principle of image capturing by digital camera, common way of image processing in the device and what the RAW format is, its pros and cons. In the next section is described existing demosaicing methods, methods for additional processing of RAW image data and there is analyzed specific RAW format, Canon's CR2, including structure and guide for its conversion. Next sections contains proposal of the new improved demosaicing method and method for suppressing digital noise. On this basis a library for basic CR2 files processing was implemented. There is comparison of methods for processing RAW image data with this library in the next section. In the conclusion there is summary of finished work and there is also mentioned outline of future work.
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PANASONIC FZ7 Digital Cameras Simulator and Trainer
Bielik, Branislav ; Drozdová, Martina (referee) ; Kunovský, Jiří (advisor)
The Bachelor's thesis Simulator and Trainer of the Panasonic FZ7 Camera deals with a design and a realization of the training manual and the trainer for this digital camera. The application will be used to support the education at the University of the Third Age. Adobe Flash and programming language ActionScript is used for implementation. Basics of photography and application creation in Flash are described. Simulation allows trying possibilities of a device in teaching and manual explains basic usage of the camera.
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Panasonic FX7 Digital Cameras Simulator and Trainer
Urban, Petr ; Drozdová, Martina (referee) ; Kunovský, Jiří (advisor)
My thesis is focused on the creation of materials which should be used at the University of the third age. I worked with camera Panasonic LUMIX FX7 to which I created a user manual and also a simulator which simulates the functions of this camera. The simulator and the user manual could be used as training materials as well as materials to demonstrate this camera, for instance on promotions.
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Výkonnostní a regresní testování nástroje Zoner Photo Studio X
Konopík, Matěj ; Kočí, Radek (referee) ; Smrčka, Aleš (advisor)
This thesis deals with the problematics of testing the manipulation of RAW format files from the modern digital cameras in Zoner Photo Studio X. Automatic regression tests are used together with the grey box method to continually control the quality of the output image date. A new testing system was created that is used to test the RAW conversion module. This system brings and open interface to easily and quickly integrate new image data tests, It also features automatic launching, analysis and reporting of the results. Thanks to this new system, the implementation of new test will become much easier and this will moreover increase the quality of the product.
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Jitters
Schrijversová, Tereza ; Spáčilová Blažková, Kateřina (referee) ; Fišerová, Lucia (advisor)
In her bachelor's thesis, the author will focus on working with the photographs of her family archive, which she uses in her artistic practice. This archive depicts the author's past. In her work, the author will subjectively reflect on the possibilities of perceiving pictorial memories as two separate, ephemeral realities for which we cannot confirm or deny their reality. At the same time, she wants to avoid the possible patheticness that working with archives tends to lead to, which is why she will use more media than just a single photograph. The artistic space he will create should serve for subjective contemplation of the pictorial medium whose affinity between reality and a certain interiority denies the exclusivity of only one reality. It accentuates here a kind of leaving a trace whose stratification refers to the psychological development of the personality in its inherent features. The aim of the work will be a multimedia installation using not only the aesthetics of original cinema films.This opens up the possibility of working with the film material itself, as a carrier of visual information, as well as its digital copy. The subsequent combination of these media will bring the viewer closer to the intimate interior of the artist herself. The work will be realized in a gallery environment, but it can also be set in a less formal setting.
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Photo Noise Reduction Using Deep Neural Networks
Tichý, Jonáš ; Juránek, Roman (referee) ; Španěl, Michal (advisor)
Obrazový šum je fundamentálním problémem v digitální fotografii. Cílem této práce je studium redukce šumu ve fotografiích pomocí hlubokých neuronových sítí. Dvě vybrané metody založené na hlubokých neuronových sítích, DnCNN a BRDNet, byly implementovány a jejich výkon byl změřen v několika experimentech. Kromě toho byl navržen a proveden experiment na uživatelích s cílem vyhodnotit vnímanou kvalitu obrazu širokou veřejností. Experimenty ukázaly, že zatímco obě metody dosahují výborných výsledků v metrikách, jako je PSNR a SSIM, vnímaná vizuální kvalita ne vždy koreluje s numerickými metrikami. Výsledky prezentované v této práci zdůrazňují důležitost vhodných trénovacích dat a metrik kvality obrazu v odšumování digitálních fotografií.
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