Plenary Lecture

Lossless Compression of Hyperspectral Images and Multidimensional Digital Data

Professor Bruno Carpentieri
Department of Computer Science
University of Salerno

Abstract: Multidimensional digital data, as for example Hyperspectral images, are widely used in many real-life applications. In this talk, we investigate on the compression of hyperspectral images and multidimensional digital data. We present an approach that relies on a multi-dimensional predictive structure that uses one or more previous bands as references to exploit the redundancies. We show experimental results that are comparable, and often better, with respect to the other state-of-art lossless compression techniques for hyperspectral images and multidimensional digital data.

Brief Biography of the Speaker: Bruno Carpentieri received the “Laurea” degree in Computer Science from the University of Salerno, Salerno, Italy, and the M.A. and Ph.D. degrees in Computer Science from the Brandeis University, Waltham, MA, U.S.A. Since 1991, he has been first Assistant Professor and then Associate Professor of Computer Science at the University of Salerno (Italy). His research interests include lossless and lossy image compression, video compression and motion estimation, information hiding. He has been for many years Associate editor of the journal IEEE Trans. on Image Processing and he is currently Associate Editor for the journal Algorithms (MDPI). He was chair and organizer of the International Conference on Data Compression, Communication and Processing 2011, co-chair of the International Conference on Compression and Complexity of Sequences, and, for many years, program committee member of the IEEE Data Compression Conference. He has been responsible for various European Commission contracts regarding image and video compression and digital movies.

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