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Title:
STISKANJE SLIK Z ALGORITMI PO VZORIH IZ NARAVE
Authors:
ID
Jurgec, Gregor
(Author)
ID
Fister, Iztok
(Mentor)
More about this mentor...
Files:
MAG_Jurgec_Gregor_2016.pdf
(2,01 MB)
MD5: FF3FAF9B626CB7DBD526327110E6037C
Language:
Slovenian
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V delu predstavljamo postopek stiskanja slik s pomočjo optimizacijskih algoritmov iz dveh različnih družin, tj. evolucijskih algoritmov in algoritmov na osnovi inteligence rojev. V naši raziskavi smo za reševanje zadanega problema uporabili diferencialno evolucijo in optimizacijo s kukavičjim iskanjem. Osnovna algoritma smo izboljšali z adaptacijskimi in hibridizacijskimi metodami. Stiskanje slik smo izvedli s pomočjo množice primitivnih geometrijskih oblik trikotnika. Razvita algoritma smo testirali na realnih primerih stiskanja slik in kakovost rezultatov stiskanja primerjali med seboj.
Keywords:
evolucijski algoritmi
,
inteligenca rojev
,
diferencialna evolucija
,
kukavičje iskanje
,
stiskanje slik.
Place of publishing:
[Maribor
Publisher:
G. Jurgec
Year of publishing:
2016
PID:
20.500.12556/DKUM-58220
UDC:
004.421(043.2)
COBISS.SI-ID:
19541526
NUK URN:
URN:SI:UM:DK:KXV74ZIQ
Publication date in DKUM:
21.04.2016
Views:
1979
Downloads:
205
Metadata:
Categories:
KTFMB - FERI
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:
JURGEC, Gregor, 2016,
STISKANJE SLIK Z ALGORITMI PO VZORIH IZ NARAVE
[online]. Master’s thesis. Maribor : G. Jurgec. [Accessed 27 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=58220
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Secondary language
Language:
English
Title:
IMAGE COMPRESSION WITH NATURE-INSPIRED ALGORITHMS
Abstract:
In our thesis we have presented process of image compression using optimization algorithms from two different families, i.e. evolutionary and swarm intelligence based algorithms. In our study, we used differential evolution and cuckoo search for solving our problem. We have improved basic algorithms with self-adaptation and hybridization methods. Compression was performed with a set of primitive geometrical shapes of triangles. Developed algorithms were tested on real cases of image compression and compression quality results were compared with each other.
Keywords:
evolutionary algorithms
,
swarm intelligence
,
differential evolution
,
cuckoo search
,
image compression.
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