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Title:Brezizgubno stiskanje rastrskih slik z napovedjo iz slik, stisnjenih z izgubami : diplomsko delo
Authors:ID Klobučar, Tomaž (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Podgorelec, David (Comentor)
Files:.pdf UN_Klobucar_Tomaz_2021.pdf (1,25 MB)
MD5: A5A5D4D7B07C341F3389240D3A30A1A6
PID: 20.500.12556/dkum/9ce2d6c3-b5ad-407f-a577-d45aeaeaaa9e
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo izdelali sistem za brezizgubno stiskanje slik. Navedli smo bistvene lastnosti standarda JPEG 2000. Opisali smo metode stiskanja BASC, Golombovo kodiranje in aritmetično kodiranje. Implementiran sistem prejme rastrsko sliko, ki jo stisne z izgubnim načinom formata JPEG 2000, jo dekodira in izračuna razlike med njima. Razlike nato stisne z metodo BASC, Golombovim kodiranjem ter aritmetičnim kodiranjem. Sistem smo testirali z različnimi slikami in rezultate primerjali s formatoma PNG ter JPEG 2000 v brezizgubnem načinu.
Keywords:Golombovo kodiranje, metoda BASC, aritmetično kodiranje, JPEG 2000, rastrske slike, stiskanje podatkov
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[T. Klobučar]
Year of publishing:2021
Number of pages:VII, 26 str.
PID:20.500.12556/DKUM-80476 New window
UDC:004.932:004.627(043.2)
COBISS.SI-ID:96328963 New window
Publication date in DKUM:18.10.2021
Views:1057
Downloads:171
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:14.09.2021

Secondary language

Language:English
Title:Lossless compression of raster images with prediction from lossily compressed images
Abstract:An experimental system for lossless image compression is considered in this thesis. The essential features of the JPEG 2000 standard were given at first. Binary Adaptive Sequential Coding, Golomb coding, and arithmetic coding were briefly described after that. The system accepts a raster image, compresses it loosely with JPEG 2000, decompresses it, and calculates the diffrences between original and the reconstructed image. These diffrences are then encoded with either BASC, Golomb or arithmetic coding. The system was tested with different images, results were compared with PNG and lossless JPEG 2000.
Keywords:Golomb coding, BASC method, arithmetic coding, JPEG 2000, raster images, data compression


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