Handbook of Convex Optimization Methods in Imaging Science
Springer International Publishing (Verlag)
978-3-319-61608-7 (ISBN)
Convex Optimization Methods in Imaging Science is the first book of its kind and will appeal to undergraduate and graduate students, industrial researchers and engineers and those generally interested in computational aspects of modern, real-world imaging and image processing problems.
Vishal Monga is a tenured Associate Professor in the School of Electrical Engineering and Computer Science at the main campus of the Pennsylvania State University in University Park, PA. Prior to joining Penn State in Fall 2009, he worked at Xerox Research Labs from 2005-2009. He received his PhD from the Department of Electrical and Computer Engineering at the University of Texas, Austin in August 2005. He has also been a visiting researcher at Microsoft Research in Redmond, WA and a visiting faculty at the University of Rochester. Professor Monga's research in optimization methods for signal and image processing has been recognized and supported via a US National Science Foundation CAREER award. For his educational efforts, he received the 2016 Joel and Ruth Spira Teaching Excellence Award.
Preface.- 1 Introduction.- 2 Optimizing Image Quality.- 3 Computational Color Imaging.- 4 Optimization Methods for SAR.- 5 Computational Spectral Ultrafast Imaging.- 6 Discriminative Sparse Representation.- 7 Sparsity-based Nonlocal Image Restoration.- 8 Sparsity Constrained Estimation.- 9 Optimization Problems Associated with Manifolds.
Erscheinungsdatum | 01.12.2017 |
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Zusatzinfo | XVII, 228 p. 83 illus., 50 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 178 x 254 mm |
Gewicht | 667 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Computer Science • computer vision • Convex Optimization • Dictionary Learning • estimation • image classification and recognition • Image Processing • image processing and computer vision • Image Quality • Image Restoration • Imaging • Imaging Systems & Technology • Imaging Systems & Technology • Inverse Problems • machine learning • Optimization • Remote-sensing • Signal, Image and Speech Processing • Signal Processing • sparsity |
ISBN-10 | 3-319-61608-0 / 3319616080 |
ISBN-13 | 978-3-319-61608-7 / 9783319616087 |
Zustand | Neuware |
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