Difference of Visual Information Metric Based on Entropy of Primitive

Image sparse representation is a method of efficient compression and coding of image signal in the process of digital image processing.Image after sparse representation,to enhance the transmission efficiency of the image signal.Entropy of Primitive(EoP)is a statistical representation of the sparse representation of the image,which indicates the probability of each base element.Based on the EoP,this paper presents an image quality evaluation method-Difference of Visual Information Metric(DVIM).The principle of this method is to evaluate the image quality with the difference between the original image and the distorted image.The comparative experiments between DVIM&PSNR&SSIM are carried out.It was found that there was a great improvement in the image quality evaluation of geometric changes.This method is an effective image quality evaluation method,which overcomes the weakness of other quality evaluation methods for geometrically changing images to a certain extent,and is more consistent with the subjective observation of the human eye.

Cultivated Land Monitoring System Based on Dynamic Wake-Up UAV and Wireless of Distributed Storage

The drawbacks of the traditional multi-hop structure of wireless sensor networks(WSNS)are susceptible to reflection,scattering and diffraction,serious attenuation of signal intensity and phase deviation due to various obstacles in cultivated land environment and mountains.In this paper,the wireless signal intensity is measured and curve fitting is done respectively in both open environment and obstacle-environment with both sending and receiving height of 0 m,1 m,and 2 m.It is found out that packet loss probability is too high when an obstacle exists.In such a case,unmanned aerial vehicle(UAV)is introduced to activate terrestrial nodes and operation mechanism of distributed storage.Experimental results show that both ground-to-air barrier-free communication and communication with obstacles can greatly reduce the energy consumption of each node and packet loss probability,thus greatly improving the reliability of UAV-WSN system.