Astronomical Image and Data Analysis
by J.-L. Starck, F. Murtagh
Publisher: Springer 2006
Number of pages: 335
This comprehensive survey explains how to handle real problems in astronomical data analysis using a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field and draw upon decades of experience. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining.
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by J. Starck, F.D. Murtagh, A. Bijaoui - Cambridge University Press
An introduction to a range of image-processing techniques with practical examples of applications in electrical engineering, astronomy, physics, and medical imaging. A guide to exciting data-analysis techniques for students and researchers.
by Sudhakar Radhakrishnan - InTech
The book revolves around three different challenges namely (i) Coding strategies (coding efficiency and computational complexity), (ii) Video compression and (iii) Error resilience. The complete efficient video system depends upon source coding.
by Hany Farid - Dartmouth College
Contents: Mathematical Foundations; Discrete-Time Signals and Systems; Linear Time-Invariant Systems; Sampling; Digital Filter Design; Photons to Pixels; Point-Wise Operations; Linear Filtering; Non-Linear Filtering; Multi-Scale Transforms; etc.
by Dwayne Philipps - R & D Books
An image processing tutorial which explains basic concepts, shows results with photographs, and implements programs in C. The book covers filters, edge detectors, and histogram equalizers, print procedures, and I/O routines, which are ready to use.