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Title:Algoritmi steganografije v rastrskih slikah BMP : diplomsko delo
Authors:ID Stanišovski, Igor (Author)
ID Žalik, Borut (Mentor) More about this mentor... New window
ID Jesenko, David (Comentor)
Files:.pdf UN_Stanisovski_Igor_2021.pdf (4,97 MB)
MD5: 86FCBA33F50451199887918527BCB537
PID: 20.500.12556/dkum/9372cd3d-3850-4e1f-9d05-e1e11a76ed80
 
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 se ukvarjali z algoritmi steganografije v rastrskih slikah. Opisali in implementirali smo metodo najmanj pomembnega bita, histogramsko metodo, metodo cik-cak, robno metodo in metodo spremembe stopnje sivine. Merili smo količino podatkov, ki jih lahko skrijemo, ne da bi izgled slike opazno spremenili. Za primerjavo originalne in stegoslike smo uporabili metriki PSNR in SSIM. Ob upoštevanju količine podatkov in popačenosti slike je najboljša metoda najmanj pomembnega bita z dvema bitoma, kot najslabša metoda pa se je izkazala metoda najmanj pomembnega bita s štirimi biti.
Keywords:steganografija, metoda najmanj pomembnega bita, robna metoda, histogramska metoda, metoda cik-cak, metoda spremembe stopnje sivine, metrika SSIM, metrika PSNR
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[I. Stanišovski]
Year of publishing:2021
Number of pages:VII, 37 f.
PID:20.500.12556/DKUM-79720 New window
UDC:004.62:004.412(043.2)
COBISS.SI-ID:87875075 New window
Publication date in DKUM:18.10.2021
Views:962
Downloads:78
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:13.08.2021

Secondary language

Language:English
Title:Steganographic algorithms in BMP raster images
Abstract:In this thesis, we considered steganographic algorithms in raster images. We described and implemented the following approaches: the least significant bit method, the histogram method, the zig-zag method, the edge-based method, and the grayscale method. We measured the amount of data to be embedded without noticeable distortion to the image. PSNR and SSIM metrics were used to compare the original and stego images. Considering the amount of data and an image distortion, the best method is the least significant bit with two bits, while the least significant bit method with four bits turned out as being the worst method.
Keywords:steganography, least significant bit method, edge-based method, histogram method, zig-zag method, grayscale method, SSIM metric, PSNR metric


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