diplomsko delo
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;diplomske naloge;
Data
Language: |
Slovenian |
Year of publishing: |
2021 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UM FERI - Faculty of Electrical Engineering and Computer Science |
Publisher: |
[I. Stanišovski] |
UDC: |
004.62:004.412(043.2) |
COBISS: |
87875075
|
Views: |
191 |
Downloads: |
23 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary title: |
Steganographic algorithms in BMP raster images |
Secondary 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. |
Secondary keywords: |
steganography;least significant bit method;edge-based method;histogram method;zig-zag method;grayscale method;SSIM metric;PSNR metric; |
Type (COBISS): |
Bachelor thesis/paper |
Thesis comment: |
Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije |
Pages: |
VII, 37 f. |
ID: |
13235336 |