Kompresija slika bez gubitaka metodom predviđanja

Knezović, Josip

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scientific master's theses

Kompresija slika bez gubitaka metodom predviđanja

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. urn:nbn:hr:168:705159

Knezović, Josip

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

APA 6th Edition

Knezović, J. (2005). Kompresija slika bez gubitaka metodom predviđanja (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:705159

MLA 8th Edition

Knezović, Josip. "Kompresija slika bez gubitaka metodom predviđanja." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2005. https://urn.nsk.hr/urn:nbn:hr:168:705159

Chicago 17th Edition

Harvard

Knezović, J. (2005). 'Kompresija slika bez gubitaka metodom predviđanja', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:705159

Vancouver

Knezović J. Kompresija slika bez gubitaka metodom predviđanja [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2005 [cited 2025 March 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:705159

IEEE

J. Knezović, "Kompresija slika bez gubitaka metodom predviđanja", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2005. Available at: https://urn.nsk.hr/urn:nbn:hr:168:705159

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:705159

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Metadata

Title	Kompresija slika bez gubitaka metodom predviđanja
Author	Josip Knezović
Mentor	Mario Kovač (mentor)
Committee member	Mario Žagar (predsjednik povjerenstva)
Committee member	Mario Kovač (član povjerenstva)
Committee member	Davor Antonić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Control and Computer Engineering) Zagreb
Defense date and country	2005-03-24, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Universal decimal classification (UDC)	621.3 - Electrical engineering
Abstract	U ovom radu analizirane su metode za kompresiju slika bez gubitaka temeljene na tehnikama predviđanja. Ispitan je utjecaj osnovnih elemenata metode za kompresiju: predikcijskog podmodela, kontekstaulnog podmodela greške i entropijskog kodiranja konačnih simbola, kako na eﬁkasnost kompresije, tako i na računsku složenost. U domeni predikcijskog podmodela analiziran je utjecaj funkcija predviđanja različitih složenosti na smanjenje entropije slikovnih podataka. Uvedeno je načelo tipičnih svojstava slikovnih područja i mehanizma prilagodbe funkcije predviđanja na dominantno tipično svojstvo u slikovnom području kojem pripada trenutni element. Predložena su proširenja postojećih mehanizama prilagodbe funkcija predviđanja, kao i nova tehnika prilagodbe zasnovana na klasiﬁkaciji i miješanju jednostavnih funkcija predviđanja. Kontekstualno modeliranje greške predviđanja predstavlja nužan korak u tehnikama kompresije bez gubitaka ukoliko se želi postići visok stupanj kompresije. U radu je analiziran utjecaj predikcijskog predmodela na smanjenje troška cjelokupnog modela, kao i na izbjegavanje efekta rasipanja kontekstualnih stanja. Primjenjen je dorađeni heuristički kontekstualni model greške predviđanja iz CALIC algoritma koji se odlikuje kontekstualnim modeliranjem u dva koraka. Konačno, predložena je metoda kompresije slika bez gubitaka sa aritmetičkim kodiranjem izlaznih simbola. Rezultati predložene metode uspoređeni su sa današnjim eﬁkasnim metodama kompresije.
Abstract (english)	In this thesis, lossless image compression techniques based on predictive coding are analyzed. The eﬀects of basic building elements of such compression techniques on the compression rate and on the computational complexity are reported. Regarding the prediction module of the complete model, the inﬂuence of the varios prediction functions on the reduction of the model entropy are examined. The notion of tipical properties of image regions, such as edges, textures and noisy regions, is introduced. Also, the concept of adaptation mechanism that is built in the prediction function is presented. Some extensions to the existing adaptation mechanisms are proposed, and, a new adaptation mechanism based on clasiﬁcation and mixing of predictors is introduced as well. Contextual modeling of prediction error is necessary step in the complete predictive model if the good compression rate is required. In the thesis, the eﬀect of predictive part on the model cost reduction and the problem of context dilution is analyzed. The rearanged contextual model based on the CALIC algoritm is used and examined. Finally, a new predictive lossless image compression method with arithmetic coding is proposed and compared to contemporary high performance lossless image compression methods.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:705159
Study programme	Title: Postgraduate master programme in electrical engineering Study programme type: university Study level: postgraduate Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-06-27 13:15:42