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master's thesis
Optimizacija metode kompresije slika bez gubitaka za platformu Android
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:897284
Blažeković, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Blažeković, I. (2017). Optimizacija metode kompresije slika bez gubitaka za platformu Android (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:897284

Blažeković, Ivan. "Optimizacija metode kompresije slika bez gubitaka za platformu Android." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:897284

Blažeković, Ivan. "Optimizacija metode kompresije slika bez gubitaka za platformu Android." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:897284

Blažeković, I. (2017). 'Optimizacija metode kompresije slika bez gubitaka za platformu Android', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:897284

Blažeković I. Optimizacija metode kompresije slika bez gubitaka za platformu Android [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:897284

I. Blažeković, "Optimizacija metode kompresije slika bez gubitaka za platformu Android", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:897284

Metadata
TitleOptimizacija metode kompresije slika bez gubitaka za platformu Android
Title (english)Lossless Image Compression Method Optimization for Android Platform
AuthorIvan Blažeković
MentorJosip Knezović (mentor)
Committee memberJosip Knezović (predsjednik povjerenstva)
Committee memberHrvoje Mlinarić (član povjerenstva)
Committee memberIgor Čavrak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu analizirano je vrijeme izvođenja pojedinih metoda za kompresiju slika bez gubitaka temeljenih na tehnikama predviđanja. U postojeću klijentsku aplikaciju integrirana je podrška za slikovne podatke formata DICOM. DICOM (Digital Imaging and COmmunications in Medicine) je najrašireniji i najprihvaćeniji standard za slike u medicini. Za integraciju je korištena vanjska biblioteka Imebra, koja sadrži sve potrebne funkcionalnosti za manipuliranje slikovnim podacima DICOM formata. Nakon početnog profiliranja idetificirano je nekoliko točaka koje su analizirane i na temelju analize postignuta je optimizacija izvođenja. U aplikaciji je integrirana podrška za Android NDK - skup alata koji omogućuje da se dio aplikacije implementira koristeći programske jezike sa direktnim prevođenjem poput C-a ili C++-a. Ispitana je i integrirana je podrška za ARM NEON intrinzike. NEON tehnologija je napredna SIMD(single instruction multiple data)arhitektura za procesore serije ARM Cortex-A. Provedeno je profiliranje optimirane i originalne aplikacije nad skupom ispitnih slika te je postignuto ukupno prosječno ubrzanje izvođenja od 3.38 puta.
Abstract (english)
In this thesis,performance time of lossless image compression techniques based on predictive coding is analyzed. Support for DICOM image format has been integrated within the existing client application. DICOM (Digital Imaging and COmmunications in Medicine) is the most widely used and accepted standard for medical imaging. Imebra library has been used for integration, which contains all the necessary functionality for manipulating DICOM image data. After initial profiling, several points for optimization were identified and analyzed. Based on that analysis the performance was optimized. The application has integrated support for Android NDK.NDK is a set of tools that enables part of the application to be implemented using native language code scripts such as C or C ++. It was established by testing that using the NDK for the selected method did not achieve optimization of performance. Support for ARM NEON intrinsics has been tested and integrated. NEON technology is an advanced single-instruction multiple data architecture for the ARM Cortex-A processor series. Profiling of the optimized and original application over the set of test images was done, and in overall, an average acceleration of 3.38 times was achieved.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:897284
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 19:08:17