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
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;
Conference_Titel :
Telecommunications (IST), 2010 5th International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-8183-5
DOI :
10.1109/ISTEL.2010.5734115
