Next Article in Journal
A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data
Next Article in Special Issue
EARS-DM: Efficient Auto Correction Retrieval Scheme for Data Management in Edge Computing
Previous Article in Journal
Discrimination of Malus Taxa with Different Scent Intensities Using Electronic Nose and Gas Chromatography–Mass Spectrometry
Previous Article in Special Issue
BMCGM: A Behavior Economics-Based Message Transmission Cooperation Guarantee Mechanism in Vehicular Ad-hoc NETworks
Article

The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

1
School of Software, Dalian University of Technology, Road No. 8, Dalian 116620, China
2
School of Navigation, Dalian Maritime University, Dalian 116620, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(10), 3430; https://doi.org/10.3390/s18103430
Received: 2 September 2018 / Revised: 30 September 2018 / Accepted: 3 October 2018 / Published: 12 October 2018
(This article belongs to the Special Issue New Paradigms in Data Sensing and Processing for Edge Computing)
With the deepening of modern military reforms, information has become the key to winning modern warfare. The use of unmanned aerial vehicle (UAV) to capture image information has become an important means of reconnaissance in modern warfare and plays an irreplaceable role. The image information usually uses a wireless image transmission system, since image information is intercepted or stolen easily during the information transmission, encrypting an image is a common method for ensuring image security. However, traditional encryption algorithms have some deficiencies in terms of efficiency and security. In order to overcome these shortcomings, a new algorithm is proposed in this paper-an improved image scrambling encryption algorithm based on Fibonacci-p coding. The first new idea of the algorithm is to separate the positive and negative signs and data of the scrambled DCT coefficients, then form the symbol matrix and the data matrix respectively, perform the scrambling encryption operation on the symbol matrix. The second new idea is to encrypt the color RGB image by converting the R, G, and B colors into Y, Cb, and Cr, and converting the normal image operation into operations on Y, Cb, and Cr, thereby implementing the encryption operation. The comprehensive performance of the algorithm is optimal with different image information. Experiments results validate the favorable performance of the proposed improved encryption algorithm. View Full-Text
Keywords: UAV; high-definition long-distance wireless digital image transmission system; improved image scrambling encryption algorithm; Fibonacci-p coding UAV; high-definition long-distance wireless digital image transmission system; improved image scrambling encryption algorithm; Fibonacci-p coding
Show Figures

Figure 1

MDPI and ACS Style

Dong, J.; Wu, G.; Yang, T.; Li, Y. The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs. Sensors 2018, 18, 3430. https://doi.org/10.3390/s18103430

AMA Style

Dong J, Wu G, Yang T, Li Y. The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs. Sensors. 2018; 18(10):3430. https://doi.org/10.3390/s18103430

Chicago/Turabian Style

Dong, Jie, Guowei Wu, Tingting Yang, and Yangyang Li. 2018. "The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs" Sensors 18, no. 10: 3430. https://doi.org/10.3390/s18103430

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop