introduction to compressive sensing (compressed sensing)
DESCRIPTION
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 .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
Com
pre
ssiv
e S
en
sin
g fo
r C
om
pu
ter
Vis
ion
an
d Im
age
Pro
ce
ssin
g, N
ave
en
Ku
lkarn
i, A
RIZ
ON
A S
TA
TE
UN
IVE
RS
ITY
Ma
y 2
011
, P
age
1-3
at least twice its highest frequency
•
•
•
•
•
•
•
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
.
•
Baraniuk, Richard, Justin Romberg, and Michael Wakin. "Tutorial on compressive sensing." Seminar
Talk, University of Michigan. 2008.