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

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 usua...

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Detalles Bibliográficos
Autores principales: Dong, Jie, Wu, Guowei, Yang, Tingting, Li, Yangyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209944/
https://www.ncbi.nlm.nih.gov/pubmed/30322077
http://dx.doi.org/10.3390/s18103430
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author Dong, Jie
Wu, Guowei
Yang, Tingting
Li, Yangyang
author_facet Dong, Jie
Wu, Guowei
Yang, Tingting
Li, Yangyang
author_sort Dong, Jie
collection PubMed
description 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.
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spelling pubmed-62099442018-11-02 The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs Dong, Jie Wu, Guowei Yang, Tingting Li, Yangyang Sensors (Basel) Article 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. MDPI 2018-10-12 /pmc/articles/PMC6209944/ /pubmed/30322077 http://dx.doi.org/10.3390/s18103430 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dong, Jie
Wu, Guowei
Yang, Tingting
Li, Yangyang
The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs
title The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs
title_full The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs
title_fullStr The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs
title_full_unstemmed The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs
title_short The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs
title_sort improved image scrambling algorithm for the wireless image transmission systems of uavs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209944/
https://www.ncbi.nlm.nih.gov/pubmed/30322077
http://dx.doi.org/10.3390/s18103430
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