Video Compressed Sensing using COASMP Recovery Algorithm

  Swathi P,  Shiwani Hariraman,  Reshma.M

The rapid advancement in production of inexpensive cmos, extremely small cameras and microphones and tiny batteries has led to the development of wireless multimedia sensor networks. Wireless multimedia sensor networks have wide applications in multimedia surveillance network, environment monitoring and traffic avoidanceand control system. But sensor devices are curbed in terms of memory, data rate, processing capability .While transmitting a video using compressed sensing through these WMSNsthe memory and PSNR constraints have a significant effect. With the view to minimize the above mentioned constraints, this paper addresses a compressed sensing scheme which adopts the Hadamard matrix for dimensionality reduction and uses CoSaMP (Compressive Sampling Matching Pursuit)recovery algorithm to reconstruct the video .The advantage of Hadamard matrix over other measurement matrix is that it uses significantly less number of elements compared to other measurement matrices. CoSaMP algorithm minimizes time complexity in comparison to other recovery algorithm.

Keywords- Wireless Multimedia Sensor Networks, Hadamard matrix, Compressed Sensing, DWT, CoSaMP.

Unique Identification Number - IJEDRCP1403032
Page Number(s) - 157-163
Pubished in - Volume 2 | Issue NCETSE Conference | March 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Swathi P,  Shiwani Hariraman,  Reshma.M,   "Video Compressed Sensing using COASMP Recovery Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue NCETSE Conference, pp.157-163, March 2014, Available at :http://www.ijedr.org/papers/IJEDRCP1403032.pdf