Post on 04-Jul-2015
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transcript
Introduction
Background
Methodology
Applications
Shannon Nyquist
Sparse Representation
Measurement principle
Sparsity
Incoherence
Sensor Network
Single Pixel Camera
Image Acquisition
Pre-processing
Image Feature extraction
Image Segmentation and
Recognition/Classification
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at least twice its highest frequency
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Theory and Applications of Compressed Sensing, Gitta Kutyniok, GAMM- Mitteilungen, 10 July 2013
Technische Universit¨at Berlin,Institut f¨ur Mathematik, Straße des 17. Juni 136 , 10623 Berlin, Germany
Compressive Sensing for Computer Vision and Image Processing, Naveen Kulkarni, Approved
May 2011, ARIZONA STATE UNIVERSITY
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Baraniuk, Richard, Justin Romberg, and Michael Wakin. "Tutorial on compressive sensing." Seminar
Talk, University of Michigan. 2008.