Abstract
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.
Highlights
The biggest advantage of unmanned aerial vehicle (UAV) in combat operations has always been reflected in intelligence reconnaissance
The reconnaissance images obtained by the UAV loaded with various imaging sensors must be transmitted to the commanders in real time to make the battlefield transparent
Compared with wired image transmission, wireless image transmission has great advantages in terms of mobility and power consumption, its real-time performance and image transmission speed and quality are much lower than wired image transmission: (1) the image transmission clarity is not enough and the transmission distance is close and the application requirements cannot be fulfilled; (2) the communication corridor has no communication link, and the transmission line patrol video cannot be transmitted back to the monitoring center in real time; (3) patrol data processing, patrol pictures, video analysis, naming, archiving, and query are all manual operations, with low intelligence and low efficiency
Summary
The biggest advantage of UAVs in combat operations has always been reflected in intelligence reconnaissance. Video and flight data collected by various types of drones are usually transmitted using a wireless image transmission system. Compared with wired image transmission, wireless image transmission has great advantages in terms of mobility and power consumption, its real-time performance and image transmission speed and quality are much lower than wired image transmission: (1) the image transmission clarity is not enough and the transmission distance is close and the application requirements cannot be fulfilled; (2) the communication corridor has no communication link, and the transmission line patrol video cannot be transmitted back to the monitoring center in real time; (3) patrol data processing, patrol pictures, video analysis, naming, archiving, and query are all manual operations, with low intelligence and low efficiency. The patrol video and the live tower number cannot automatically correspond, rely on manual operations
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