Title Steganografinis metodas naudojantis optimizuotas kvantavimo lenteles
Translation of Title Steganographic method using optimized quantization tables.
Authors Petraška, Jonas
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Pages 97
Keywords [eng] steganography ; F5 ; copyright protection ; optimised quantization tables ; digital media protection
Abstract [eng] This paper provides an overview of steganography and its methods for hiding sensitive information in text, audio and image files, as well as digital watermarks and their applications for digital media protection. A major focus of the work is on copyright protection of digital media content. The most common problems of digital media protection and their solutions are discussed. It also presents the various existing tools for the protection of digital media and gives an overview of their advantages and disadvantages. Finally, insights into the use of steganography and watermarking for digital media protection are provided and further objectives of this work are outlined. The first part of the paper analyses the problems of digital media security and outlines solutions. It examines how existing digital media protection techniques are used today and what problems arise in applying these techniques. The second part sets out the main requirements for solving the digital media protection problems found and proposes a new steganographic algorithm to solve these problems, F5A. The solution is detailed and the principles of its operation are described. The pros and cons of the method are outlined and comparisons with the existing steganographic method F5 are made. The third part describes the realisation of the solution, detailing the steps of the new steganographic algorithm F5A and the performance of each step in detail. The fourth part describes the study carried out comparing the F5 and F5A algorithms in terms of MSE, PSNR and other metrics. The methods are compared in terms of capacity, image quality and other aspects.
Dissertation Institution Kauno technologijos universitetas.
Type Master thesis
Language Lithuanian
Publication date 2023