master's thesis
Converting digital image to sound using superposed and parameterized vectors

Mario Krušelj (2015)
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing
Metadata
TitlePretvorba digitalne slike u zvuk superponiranjem i parametrizacijom vektora
AuthorMario Krušelj
Mentor(s)Irena Galić (thesis advisor)
Abstract
U ovom diplomskom radu postavljen je problem pretvorbe slike u zvuk korištenjem aditivne sinteze. Opisan je način pohrane slike i zvuka u digitalnom formatu, osnove aditivne sinteze kao primjena Fourierove teorije harmoničke analize u praksi te način na koji se može iskoristiti podatke sadržane u digitalno pohranjenoj slici za stvaranje zvuka. Pojašnjeni su dodatni parametri koji omogućuju veći spektar zvukova koji se mogu postići. Korištenjem programskog jezika Python 3 napravljena je aplikacija koja zadani problem rješava pomoću grafičkog sučelja. Postignuti su rezultati u vidu nekoliko praktičnih primjera pretvorbe slike u zvuk. Rad je popraćen DVD-om na kojemu se nalaze slike i audio zapisi svih praktičnih primjera, izvorni kod programa te izvršna datoteka aplikacije za 64-bitni Windows 7 operativni sustav
Keywordsimage sound additive synthesis Fourier harmonic analysis digital data conversion
Parallel title (English)Converting digital image to sound using superposed and parameterized vectors
Committee MembersIrena Galić (committee chairperson)
Časlav Livada (committee member)
Josip Job (committee member)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Lower level organizational unitsDepartment of Software Engineering
Chair of Visual Computing
PlaceOsijek
StateCroatia
Scientific field, discipline, subdisciplineTECHNICAL SCIENCES
Computing
Program Engineering
Study programme typeuniversity
Study levelgraduate
Study programmeGraduate University Study Programme in Computer Engineering
Academic title abbreviationmag.ing.comp.
Genremaster's thesis
Language Croatian
Defense date2015-10-02
Parallel abstract (English)
This thesis posed the problem of converting images to sound using additive synthesis. Means of storing images and sound in a digital format were described, as well as basics of additive synthesis as a practical application of Fourier's harmonic analysis theory, along with a method which we can utilize the information contained in a digitally stored image to create sound. Additional parameters that allow a greater range of sounds to be achieved were also explained. Python 3 programming language was used to create an application which solves the posed problem by means of graphical interface. Achieved results are showcased via several practical examples of converting images to sound. The thesis is accompanied with a DVD containing images and audio clips of all practical examples, source code of the program, and an executable file of the application for 64-bit Windows 7 operating system
Parallel keywords (Croatian)slika zvuk aditivna sinteza Fourierova harmonička analiza digitalni zapis pretvorba
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:200:305818
CommitterAnka Ovničević