IMAGE RESTORATION USING LOW-RANK MATRIX RECOVERY & NEURAL NETWORK WITH MEDIA FILTER

Authors

  • Pawan Deep Kour Electronics and Communication Engineering, Panchkula Engineering college Mouli,Barwala.
  • Er. Navjot Kaur Pannu(Assistant professor ECE) Electronics and Communication Engineering, Panchkula Engineering college Mouli,Barwala

Keywords:

SHAC,EECS,RGB,LRMR

Abstract

Wireless Sensor Networks can accumulate decisive and precise information in inaccessible and precarious
environments, and can be utilized in Military Affairs, National Defence, Environmental Monitor, Industrial Control,
Traffic Management, Smart Home, Medical Care, and many more. The sensors whose resources are inadequate are
inexpensive, and rely upon the battery for supplying electricity, so it is very important for routing to conveniently make
use of its power. Earlier, for wireless sensor networks an energy-efficient SHAC (Single-Hop Active Clustering)
approach was proposed. This algorithm has mainly three parts. First, a timer mechanism was introduced to choose
tentative cluster-heads. Second, a cost function was proposed for balancing efficiently energy of each node. Lastly, active
clustering algorithm was proposed. During both numerical results and theoretical analysis, it is depicted that with such
algorithm the lifetime of the network can be increased considerably compared to the other clustering protocols namely
LEACH-C and EECS. Single Hop Active Clustering may extend the lifespan of the network by up to 50 percent as
compared to EECS.

Published

2016-07-25

How to Cite

Pawan Deep Kour, & Er. Navjot Kaur Pannu(Assistant professor ECE). (2016). IMAGE RESTORATION USING LOW-RANK MATRIX RECOVERY & NEURAL NETWORK WITH MEDIA FILTER. International Journal of Advance Engineering and Research Development (IJAERD), 3(7), 138–143. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/1552