| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Primerjava odpornosti slikovnih datotečnih formatov na okvare podatkov : diplomsko delo
Authors:ID Kelbič, Žan (Author)
ID Kohek, Štefan (Mentor) More about this mentor... New window
ID Podgorelec, David (Comentor)
Files:.pdf VS_Kelbic_Zan_2025.pdf (7,01 MB)
MD5: 93737C22542AF7A6D40D0B65F3C01272
 
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 smo primerjali odpornost slikovnih formatov JPEG, JPEG2000, PNG, WebP, TIFF in HEIF ob nadzorovanih okvarah bitnega toka z namenom ugotavljanja njihovih prednosti, slabosti in zmožnosti dekodiranja. Okvare smo vnašali z metodami preklopa bitov, prepisa zlogov, zamenjave segmentov, metode "fuzzing" in krajšanjem datotek. Objektivne podobnosti med referenčnimi in okvarjenimi slikami smo merili z metrikama PSNR in SSIM. Na osnovi reprezentativnih vzorcev pri naključnih eksperimentih smo podali ugotovitve o odpornosti posameznih formatov na okvare.
Keywords:slikovni datotečni formati, okvare slik, odpornost na okvare, JPEG, JPEG2000, PNG, WebP, TIFF, HEIF, PSNR, SSIM
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[Ž. Kelbič]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (XIII, 68 str.))
PID:20.500.12556/DKUM-95435 New window
UDC:004.63.057.3(043.2)
COBISS.SI-ID:260753411 New window
Publication date in DKUM:17.10.2025
Views:143
Downloads:21
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



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:18.09.2025

Secondary language

Language:English
Title:Comparison of the robustness of image file formats against data corruption
Abstract:In this thesis, we compared the robustness of JPEG, JPEG2000, PNG, WebP, TIFF, and HEIF image file formats under controlled bitstream corruptions in order to determine their advantages, disadvantages, and decoding capabilities. We introduced errors using bit flipping, byte overwriting, segment swapping, fuzzing, and file truncation methods. We measured the objective similarities between reference and corrupted images using PSNR and SSIM metrics. Based on representative samples in random experiments, we presented findings about the robustness of individual image file formats to corruptions.
Keywords:image file formats, image corruption, robustness, JPEG, JPEG2000, PNG, WebP, TIFF, HEIF, PSNR, SSIM


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica