The recent digital revolution has facilitated communication, data portability and on-the-fly manipulation. Unfortunately, this has brought along some critical security vulnerabili...
Abbas Cheddad, Joan Condell, Kevin Curran, Paul Mc...
Still and multi-media images are subject to transformations for compression, steganographic embedding and digital watermarking. In a major program of activities we are engaged in t...
In this paper, we present a 3D X-Ray Transform based multilinear feature extraction and classification method for Digital Multi-focal Images (DMI). In such images, morphological i...
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
A robust, invisible watermarking scheme is proposed for digital images, where the watermark is embedded using the blockbased lapped orthogonal transform (LOT). The embedding proces...