DocumentCode
2761470
Title
Compressed video sensing using adaptive sampling rate
Author
Azghani, Masomeh ; Aghagolzadeh, Ali ; Aghagolzadeh, Mohammad
Author_Institution
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
710
Lastpage
714
Abstract
Compressive video sampling is an application of compressed sensing (CS) theory which samples a signal below the Shannon-Nyquist rate. In this paper, we present a compressed video sensing method that samples the blocks with adaptive sampling rate. The edge of the image is exploited to define a deficiency factor for blocks. Considering this factor, we determine sampling rates independently for each block. The simulation results show that the proposed method outperforms the conventional CS in image quality for the same compression ratio.
Keywords
image sampling; video coding; Shannon-Nyquist rate; adaptive sampling rate; compressed video sensing; compression ratio; image quality; Compressed sensing; Image coding; Image edge detection; Image reconstruction; Matching pursuit algorithms; Sensors; Simulation; Compressed sensing; adaptive sampling rate; video;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications (IST), 2010 5th International Symposium on
Conference_Location
Tehran
Print_ISBN
978-1-4244-8183-5
Type
conf
DOI
10.1109/ISTEL.2010.5734115
Filename
5734115
Link To Document