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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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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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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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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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Implementation of Statistical Compression Method
Šreibr, Jakub ; Polok, Lukáš (referee) ; Bařina, David (advisor)
In this thesis statistical methods for data compression are presented. It deals with projecting of compression process and with it's implementation in a form of program library, which is created in language C++. Description and analysis of compression methods are discussed. The results of tests, which were performed with different compression methods are demonstrated.
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Acceleration of Burrows-Wheeler Transform Using GPU
Zahradníček, Tomáš ; Drábek, Vladimír (referee) ; Šimek, Václav (advisor)
This thesis deals with Burrows-Wheeler transform (BWT) and possibilities of acceleration of this transform on graphics processing unit (GPU). Methods of compression based on BWT are introduced, as well as software libraries CUDA and OpenCL for writing programs for GPU. Parallel variants of BWT are implemented, as well as following steps necessary for compression, using CUDA library. Amount of compression of used approaches are tested and parallel versions are compared to their sequential counterparts.
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Acceleration of Burrows-Wheeler Transform Using GPU
Zahradníček, Tomáš ; Drábek, Vladimír (referee) ; Šimek, Václav (advisor)
This thesis deals with Burrows-Wheeler transform (BWT) and possibilities of acceleration of this transform on graphics processing unit (GPU). Methods of compression based on BWT are introduced, as well as software libraries CUDA and OpenCL for writing programs for GPU. Parallel variants of BWT are implemented, as well as following steps necessary for compression, using CUDA library. Amount of compression of used approaches are tested and parallel versions are compared to their sequential counterparts.
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