An Efficient Algorithm to Energy Savings for Application to the Wireless Multimedia Sensor Networks

The lifetime of the Wireless Multimedia Sensor Network (WMSN), located along the green borderline, depends directly on their battery. Conversion of the captured image by sensor nodes in the black and white image directly affects in energy saving. However, in this case, there will be a loss of details of the objects in the image, respectively the loss of the structure of objects in the image. This will create problems in identifying various criminal groups during the illegal crossing of the state border from different animals which can be very active across the borderline. Therefore, in this paper, we will present an efficient algorithm, which will restore corrupted image pixels from various noises and will retain the image structure captured by WMSN, without the application of an algorithm for detection of the image edges.