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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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Dictionary Methods of Data Compression
Kubica, Peter ; Beran, Vítězslav (referee) ; Bařina, David (advisor)
Due to increasing amount of stored and transferred data, there is a need of compression. For these purposes, there were invented many compressing algorithms. This thesis focuses on lossless compression, specifically on dictionary methods. This work sums up the knowledge about methods LZ77 and LZ78.. These methods were implemented in C++ language, according to their formal description. Detailed knowledge of their principles, advantages, disadvantages and possible improvements is the product.
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Lossless Light Field Compression
Navrátil, Robert ; Šolony, Marek (referee) ; Bařina, David (advisor)
This thesis is focused on lossless light-field images compression, where it could be viable to extend common predictors into more dimensions. First chapter is regarding to essential theory about light-field images and 4D light-field, which is followed by description of every predictor and coder. With this is connected description of used compression pipeline. Last chapters contains description of solution and differences between every predictor result and theirs dimensional variant. At the end the results are compared with PNG. The result is that some 4D variants of implemented predictors have better compression rate than PNG.
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Dictionary Methods of Data Compression
Kubica, Peter ; Beran, Vítězslav (referee) ; Bařina, David (advisor)
Due to increasing amount of stored and transferred data, there is a need of compression. For these purposes, there were invented many compressing algorithms. This thesis focuses on lossless compression, specifically on dictionary methods. This work sums up the knowledge about methods LZ77 and LZ78.. These methods were implemented in C++ language, according to their formal description. Detailed knowledge of their principles, advantages, disadvantages and possible improvements is the product.
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|
Lossless Light Field Compression
Navrátil, Robert ; Šolony, Marek (referee) ; Bařina, David (advisor)
This thesis is focused on lossless light-field images compression, where it could be viable to extend common predictors into more dimensions. First chapter is regarding to essential theory about light-field images and 4D light-field, which is followed by description of every predictor and coder. With this is connected description of used compression pipeline. Last chapters contains description of solution and differences between every predictor result and theirs dimensional variant. At the end the results are compared with PNG. The result is that some 4D variants of implemented predictors have better compression rate than PNG.
|
|
|
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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