S
Sos S. Agaian
Researcher at City University of New York
Publications - 582
Citations - 10193
Sos S. Agaian is an academic researcher from City University of New York. The author has contributed to research in topics: Image processing & Computer science. The author has an hindex of 38, co-authored 532 publications receiving 8216 citations. Previous affiliations of Sos S. Agaian include College of Staten Island & University of Texas System.
Papers
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Proceedings ArticleDOI
Application of wavelet polynomial threshold for interpolation and denoising in bioimaging
TL;DR: Wavelet-denoising approach using polynomial threshold operators in 3-dimensional applications using wavelet-polynomial threshold based interpolation filter is demonstrated and comparative studies in the wavelet domain conclude that the presented method is viable for 3D applications.
Proceedings ArticleDOI
A novel image enhancement method of 3D medical images by transforming the 3D images to 2D grayscale images
TL;DR: The enhancement effects on the medical images by the proposed transformation model and then the enhancement by the alpha-rooting method, for the frequency domain algorithm, and the histogram equalization,for the spatial domain enhancement algorithm are described.
Posted Content
Modified Alpha-Rooting Color Image Enhancement Method On The Two-Side 2-D Quaternion Discrete Fourier Transform And The 2-D Discrete Fourier Transform
TL;DR: This paper proposes an implementation of the quaternion approach of enhancement algorithm for enhancing color images and is referred as the modified alpha-rooting by the two-dimensional quaternions discrete Fourier transform (2-D QDFT).
Proceedings ArticleDOI
Steganalysis feature improvement using expectation maximization
TL;DR: An investigation of a clustering and classification technique (Expectation Maximization with mixture models) is used to determine if a digital image contains hidden information and it is concluded that the EM classification technique is highly suitable for both blind detection and the multi-class problem.
Book ChapterDOI
A Novel Multilevel DCT Based Reversible Data Hiding.
Hong Cai,Sos S. Agaian +1 more
TL;DR: The DCT, a sub-optimal transform, is favorably close to the optimal Karhunen-Loeve Transform (KLT) and the wavelet transform, another efficient transform has been developed to exploit the multi-resolution property in signals.