Seyyed Amin Seyyedi

Work place: Belarusian State University Informatics and Radioelectronics/Department of Electronic Computing Machines, Minsk, 220013, Belarus I.A.U Maku Branch/ Department of computer, Maku, Iran



Research Interests: Image Processing, Image Manipulation, Image Compression, Computer systems and computational processes


Seyyed Amin Seyyedi received the M.E in software engineering from Islamic Azad University, Iran 2008. He is a member of computer department in Islamic Azad University. Now he is studying for PhD in Belarusian State University Informatics and Radioelectronics. His research interests include image steganography and watermark.

Author Articles
Statistical Image Classification for Image Steganographic Techniques

By Seyyed Amin Seyyedi Nick Ivanov

DOI:, Pub. Date: 8 Jul. 2014

Steganography is the method of information hiding. Free selection of cover image is a particular preponderance of steganography to other information hiding techniques. The performance of steganographic system can be improved by selecting the reasonable cover image. This article presents two level unsupervised image classification algorithm based on statistical characteristics of the image which helps Sender to make reasonable selection of cover image to enhance performance of steganographic method based on his specific purpose. Experiments demonstrate the effect of classification in satisfying steganography requirements.

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