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Implementation of Statistical Compression Methods
Ftorek, Peter ; Polok, Lukáš (referee) ; Bařina, David (advisor)
The aim of this thesis is to describe statistical methods for data compression. Introduction covers theoretical minimum of data compression. Center of the work is about description of each method and implementation of Burrows-Wheeler compression algorithm in C programming language. It contains test results of each method and their evaluation.
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Library of Compression Algorithms
Kozák, Filip ; Kaštil, Jan (referee) ; Košař, Vlastimil (advisor)
The purpose of this bachelor's thesis is to create the Library of Compression Algorithms which operates with data in memory. There is explained the principle of compression and decompression of individual methods, described steps and solutions for potential issues of individual algorithms and practical implementation of these algorithms. In conclusion there is the comparison of results of implemented algorithms with some existing programs for data compression.
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Lossless Image Compression
Komjáthy, Gergely ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis deals with lossless image compression. In this paper are shown some colour models, which can be used for lossless image compression and formulas how to convert them to RGB and vica versa. You can learn predictors, how they work and discription of some of them. There is described the function of arithmetic coder, PPM coder and a brief description of Huffman coding.
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Video Player Based on FPGA
Sigmund, Stanislav ; Slaný, Karel (referee) ; Vašíček, Zdeněk (advisor)
This thesis deals with possible and realized decompression and playing of video on platforms, using FPGA unit. For implementation of this player is used platform FITKit, which has integrated VGA connector and large enough RAM memory. It uses a hard drive as memory medium with FAT32 file system.
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Medical Image Data Compression
Šebek, Jiří ; Bařina, David (referee) ; Kršek, Přemysl (advisor)
This thesis deals with several lossless methods of image compression. The main goal is to achieve the best compression ratio for set of medical images. This paper provides brief introduction into the data compression theory. It also contains design of image compression and description of designed compression modules implementation. Also the verifi cation of suitability of designed method for medical images compression is involved.
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Interactive web applications supporting education
Tvorogov, Ivan ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
The project mainly aims to the development of applications for viewing lossless data compression algorithms. A theoretical part is devoted to description of theory from the area of lossless data compression algorithms and basic description of the language of HTML5, JavaScript, and CSS that will be used during the development. A practical part is focused on proposal and implementation of particular applications.
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Medical Image Data Compression
Balarin, Jakub ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
The efficiency of various compress algorithms on medical images is explored in this paper. It try's to find algorithm or group of algorithms with the best compress efficiency. Except classic algorithms the medicine data properties (it contains many similar image points) can be used to reach higher compress level. We verify delta coding efficienty to final compress ratio. At the end the best founded method is presented.
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Comparison of Lossy Image Compression Formats
Koláček, Ladislav ; Svoboda, Pavel (referee) ; Bařina, David (advisor)
This bachelor thesis deals with comparing of lossy image compression formats. The chapters describe principles of image compression and lossy formats themselves. Specifically the lossy formats JPEG, JPEG 2000, JPEG XR and WebP. The thesis includes theoretical comparison of the formats mentioned above, along with the methods used for measuring image quality. The practical part contains the results of the quality measurements of each format and description of design together with implementation of the tutorial.
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Implementation of Statistical Compression Methods
Beněk, Tomáš ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis deals with the statistical compression methods. This work describes basic theoretical introduction to the data compression and the most important representatives of statistical methods. There is also described compression process based on the Burrows-Wheeler algorithm, which is implemented in the form of portable library in C++ programming language. This work compares effectiveness of each method on suitable data corpus, which contains various data types and according to achieved results discusses suitability of usage of methods and possible improvements.
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Compression of ECG signals
Kašpárek, Jan ; Kozumplík, Jiří (referee) ; Hrubeš, Jan (advisor)
This thesis contains general description of several basic compression algorithms used either for lossy and lossless compression. These algorithms are runlength encoding, Lempel-Ziv, Huffman encoding, Move-to-Front, wavelet transform and Burrows-Wheeler transform. Aim of this thesis is creation of ECG compression algorithm with implementation of runlength encoding and BWT. Another technique used in algorithm is wavelet transform. The algorithm is written in programming environment MATLAB.
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