Abstract
This paper designs and implements an image transmission algorithm applied to plant information collection based on the wireless sensor network. It can effectively reduce the volume of transmitted data, low-energy, high-availability image compression algorithm. This algorithm mainly has two aspects of improvement measures: the first is to reduce the number of pixels that transmit images, from interlaced scanning to interlaced neighbor scanning; the second is to use JPEG image compression algorithm [1], changing the value of the quantization table in the algorithm [2]. After image compression, the image data volume is greatly reduced; the transmission efficiency is improved; and the problem of excessive data volume during image transmission is effectively solved.
Highlights
A Plant Image Compression Algorithm Based on Wireless Sensor NetworkCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin, China
With the rapid development of the network information industry technology around the world, agricultural informatization has gradually entered people’s lives
We have developed a stable wireless sensor network algorithm [1] [2], which can greatly reduce the amount of data transmitted, compress the image size of the plant, and ensure the visibility of the image within a certain range
Summary
College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China. How to cite this paper: Sun, G.L., Chu, Y.Q., Liu, X.C. and Wang, Z.H. (2019) A Plant Image Compression Algorithm Based on Wireless Sensor Network. Journal of Computer and Communications, 7, 53-64.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.