David Tschumperle (GREYC Research scientist in Computer Science), Christophe Tilmant (Institut Pascal (UMR-CNRS 6602) ), Vincent Barra (LIMOS (UMR-CNRS 6158) )

Broschiertes Buch

Digital Image Processing with C++

Implementing Reference Algorithms with the CImg Library

Beschreibung

Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Anyone wishing to discover or specialize in this discipline, quickly prototype new algorithms, or develop courses, will find all the material they need in this book.

Autor

David Tschumperle is a permanent CNRS Research Scientist, heading the IMAGE team at the GREYC Laboratory, in Caen / France. He's particularly interested in partial differential equations and variational methods for processing multi-valued images in a local or non-local way. He has authored more than 40 papers in journals or conferences and is the project leader of CImg and G'MIC, two open-source software/libraries. Christophe Tilmant is Associate Professor in Computer Science at Clermont-Auvergne University. His research activities include image processing, artificial intelligence, where he has authored more than 30 papers. His teaching includes deep learning, image processing and network security. He participates or leads several French research programs. Vincent Barra is a full Professor in Computer Science at Clermont-Auvergne University, and Associate Director of the LIMOS Lab. He teaches artificial intelligence and image processing in engineering schools and in master's programs. His research activities focus on n-dimensional data analysis, with methodological and application aspects in various fields. He has authored more than 90 papers in journal or conferences, and participates or leads several French and European research programs.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 310
• Erscheinungstermin: 17. März 2023
• Englisch
• Abmessung: 254mm x 178mm x 17mm
• Gewicht: 630g
• ISBN-13: 9781032347530
• ISBN-10: 1032347538
• Artikelnr.: 66268422