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Wavelet-type compression of images using distributed computing in Matlab
Seifert, David ; Smékal, Zdeněk (referee) ; Rajmic, Pavel (advisor)
The thesis deals with the possibility of wavelet compression in Matlab. In the beginning it only made me review the history of Wavelet analysis and its possibilities. Then followed a general kampitola wavelet transform, basic knowledge about it. It also identified Mallátův pyramidal algorithm. The following chapter on the DWT and its use for processing the image compression. Chapter One consists of the implementation of compression in Matlab. Here is the reason for dividing the image into blocks. There is also mention 2 basic methods of processing using Matlab, and parallel and distributed. In another part of the chapter followed by a description of the program itself. In the last part of the chapter is set to use this program with different parameters of the elective program.
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CPU Rendering of Large Volumetric Data
Svoboda, Jan ; Vlnas, Michal (referee) ; Španěl, Michal (advisor)
This thesis deals with design and implementation of a system that allows displaying large volumetric data in real time on the CPU of a conventional computer. The thesis aims to solve two biggest problems. Firstly, it aims to solve the problem with rendering itself, where this amount of data often cannot be placed into the main memory of a target computer. Secondly, it aims to solve the problem of storing of this data, where, in the case of large datasets, storing them in the storage of a target computer may not be desirable. The proposed solution contains two applications -- the server one and the client one. The server part is used as a remote storage of volumetric data that is provided to the client application in small blocks and in different qualities. The client application renders this data by the ray casting method and, according to the created strategies, performs loading and storing of required blocks in the local memory. In order to achieve high performance, the client application was implemented with an emphasis on parallelization of the main processes. The resulting system allows a user to display large datasets stored on a server's storage and to manage the datasets using a simple graphical user interface.
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Wavelet-type compression of images using distributed computing in Matlab
Seifert, David ; Smékal, Zdeněk (referee) ; Rajmic, Pavel (advisor)
The thesis deals with the possibility of wavelet compression in Matlab. In the beginning it only made me review the history of Wavelet analysis and its possibilities. Then followed a general kampitola wavelet transform, basic knowledge about it. It also identified Mallátův pyramidal algorithm. The following chapter on the DWT and its use for processing the image compression. Chapter One consists of the implementation of compression in Matlab. Here is the reason for dividing the image into blocks. There is also mention 2 basic methods of processing using Matlab, and parallel and distributed. In another part of the chapter followed by a description of the program itself. In the last part of the chapter is set to use this program with different parameters of the elective program.
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