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PL
Steganografia, czyli nauka zajmująca się ukrywaniem informacji w informacji, zyskuje na popularności wraz ze wzrostem znaczenia internetu. Mwtody steganografii odwracalnej, będącej jej częścią, umożliwiają bezstratne odzyskanie zarówno ukrytej wiadomości jak i oryginału jej nośnika. Mają one jednak różne zastosowania i możliwości. Niniejszy artykuł poświęcony jest teoretycznej i praktycznej analizie różnych metod steganografii odwracalnej opracowanych przez badaczy.
EN
Steganography is a science that deals with hiding information in other information, and it's becoming increasingly popular with rapid growth of Internet utilization. Reversible steganography methods allow lossless recovery of not only the message, but the cover image as well. Different methods have different characteristics, and thus different applications. This paper aims to deepen the understanding of selected reversible methods, their strong and weak point, through both theoretical and practical analysis. The comparison of chosen methods is presented in the paper.
EN
Steganography is the approach for hiding any secret message in a variety of multimedia carriers like images, audio or video files. Whenever we are hiding a data, it is very important to make it invisible, so that it could be protected. A number of steganographic algorithms have been proposed based on this property of a steganographic system. This paper concentrates on integrating Tri way pixel value differencing approach and LSB matching revisited. The secret data embedded in images were images, text and audio signals so far. The proposed scheme has also come with the executable file as secret data. Also, the experimentation results show that, the important properties of a steganographic system such as imperceptibility, capacity of the carrier image and also resistance against the various steganalytic tools have also been achieved with this stego-system.
3
Content available remote Genetic optimization of watermarking techniques using spatial domain scheme
EN
In this paper we propose a novel watermarking technique in the spatial domain using the genetic algorithm. In this method, the image is decomposed into certain blocks, and the chosen watermark is also split into parts to fit into the blocks of the image for its embedding. This technique lowers the computational complexity that normally arises with the traditional watermarking algorithms. Optimization is done using techniques from genetic algorithm and by searching for a certain parameter that represents the watermarking embedding strength. This parameter is varied to find the most suitable strength that makes the image watermark both invisible and robust. The new algorithm yields an invisible watermark that is robust to various kinds of attacks. A comparison is made with a number of other watermarking algorithms that shows the efficiency of the proposed method.
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