I have mentioned to the major concepts of compressed sensing and its applications in this document that can help who want to get familiar with CS .

2. Introduction
Background
Methodology
Applications

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

6. 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

9. at least twice its highest frequency

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27. 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

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

41. .

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