Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
Metode prekrivanja informacije v slikah PNG : diplomsko delo
Authors:
ID
Kovačič, Luka
(Author)
ID
Žalik, Borut
(Mentor)
More about this mentor...
ID
Jesenko, David
(Comentor)
Files:
UN_Kovacic_Luka_2021.pdf
(2,83 MB)
MD5: EFAB39D5EFF8A6B6460DD084807268C2
PID:
20.500.12556/dkum/58cf2e0a-c8aa-4fc8-a5eb-41f3d0840e5b
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 najprej predstavimo pomembne aspekte slikovnega formata PNG, kjer razložimo koncept prepletanja in filtre PNG. Nato se osredotočimo na metode za prekrivanje informacije. Osredotočimo se na metode LSB, LSBMR, PVD, PPV in EMD. Metode implementiramo in jih nato med seboj primerjamo.
Keywords:
steganografija
,
prostorska domena
,
rastrske slike
,
metode LSB
,
LSBMR
,
PVD
,
PPV
,
EMD
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[L. Kovačič]
Year of publishing:
2021
Number of pages:
X, 42 str.
PID:
20.500.12556/DKUM-79907
UDC:
004.353.244(043.2)
COBISS.SI-ID:
87617795
Publication date in DKUM:
18.10.2021
Views:
717
Downloads:
65
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
KOVAČIČ, Luka, 2021,
Metode prekrivanja informacije v slikah PNG : diplomsko delo
[online]. Bachelor’s thesis. Maribor : L. Kovačič. [Accessed 13 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=79907
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
No similar works found
Similar works from other repositories:
Evaluating five forest models using multi-decadal inventory data from mountain forests
Forest inventory on farm Andrejc
Tree height growth modelling using LiDAR-derived topography information
National forest inventory data to evaluate climate-smart forestry
Quantifying damage and potential recovery following natural disturbances in alpine forests using remote sensing techniques
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
23.08.2021
Secondary language
Language:
English
Title:
Information hiding methods in PNG images
Abstract:
In this thesis first important aspects of PNG image format are explained; concept of interlacing and PNG filters. Then focus is on information hiding methods, especially on methods LSB, LSBMR, PVD, PPV and EMD. Methods are also implemented and compared.
Keywords:
steganography
,
spatial domain
,
raster images
,
methods LSB
,
LSBMR
,
PVD
,
PPV
,
EMD
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back