1.
Introduction
Background
Methodology
Applications

2.
Shannon Nyquist
Sparse Representation
Measurement principle
Sparsity
Incoherence
Sensor Network
Single Pixel Camera

3.
Pre-processing
Image Feature extraction
Image Segmentation and
Recognition/Classification
Compressive Sensing for Computer Vision and Image
Processing, Naveen Kulkarni, ARIZONA STATE UNIVERSITY
May 2011, Page 1-3
Image Acquisition

4.
at least twice its highest frequency

5.
•
•
•

6.
•
•

7.
•
•

8.
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

9.
Compressive Sensing for Computer Vision and Image Processing, Naveen Kulkarni, Approved
May 2011, ARIZONA STATE UNIVERSITY

10.
.

11.
•

12.
Baraniuk, Richard, Justin Romberg, and Michael Wakin. "Tutorial on compressive sensing." Seminar
Talk, University of Michigan. 2008.