Secure video compression and integration technique for data transmission
Автор: A.D.Senthil Kumar, T.S.Anandhi, Ranganath Muthu
Журнал: International Journal of Computer Network and Information Security @ijcnis
Статья в выпуске: 11 vol.9, 2017 года.
Бесплатный доступ
This paper approaches security application for digital image and video processing. The techniques involve H.264 Video Compression, Elliptical Curve Cryptography Encryption followed by Image Interleaving and last by Pixel Integration to generate integrated multi-video. The user can choose any of the videos among the several integrated videos displayed with a unique security key for each video. With the secure key assigned for each video input, the original video is displayed by decrypting it from multiple videos.
Elliptical Curve Cryptography, Encryption, Image Processing, Pixel Integration, Security, Image Interleaving Multi-view Systems
Короткий адрес: https://sciup.org/15015555
IDR: 15015555 | DOI: 10.5815/ijcnis.2017.11.07
Список литературы Secure video compression and integration technique for data transmission
- Chris Solomon and Toby Breckon,"Fundamentals of Digital Image Processing,” Wiley,2010, pp1-18.
- Christof Paar and Jan Pelzl,” Understanding Cryptography: A Textbook for Students and Practitioners," Springer, 2010,pp.1-24
- Darrel Hankerson, Alfred J. Menezes and Scott Vanstone," Guide to Elliptic Curve Cryptography," Springer, 2004.
- G.Zhi-Hong, H.Fangjun, and G.Wenjie, "Chaos-base, Image Encryption Algorithm,”Elsevier, pp. 153-157, Oct 2005.
- Iain E. Richardson,"THE H.264 ADVANCED VIDEO COMPRESSION STANDARD", Willey, 2010, pp 81-98.
- Kamlesh Gupta and Sanjay Silakari,"Performance Analysis for Image Encryption Using ECC",Computational Intelligence and Communication Networks (CICN), pp 79-82, Nov 2010.
- Liu, Z “Image encryption scheme by using iterative random phase encoding in gyrator transform domains”, Optics and Lasers in Engineering, pp. 542-546., 2011.
- Guo, Q., Z. Liu, and S. Liu,”Color image encryption by using Arnold and discrete fractional random transforms in IHS space” Optics and Lasers in Engineering, pp. 1174-1181, 2010.
- A.D.Senthil Kumar," Multi-Image Integration and Encryption Algorithm for Security Applications",IEEE-IECON Conference,2016,pp986-991.
- Ahmed Bashir Abugharsa, Abd Samad Bin Hasan Basari and Hamida Almangush,"A Novel Image Encryption Using an Integration Technique of Blocks Rotation Based on the Magic Cube and the AES Algorithm," International Journal of Computer Applications, pp.38-45, March 2012.
- A.Alfalou, C.Brosseau,and N.Abdallah," Simultaneous compression and encryption of color video images", Elsevier, pp.371-379, Oct 2014.
- Daniel Schonberg, Daniel Schonberg , Chuohao Yeo and Kannan Ramchandran,"Toward Compression of Encrypted Images and Video Sequences", IEEE 2010.
- Laiphrakpam Dolendro Singh and Khumanthem Manglem Singh,"Image Encryption using Elliptic Curve Cryptography" Eleventh International Multi-Conference on Information Processing, pp 472-481, 2015.
- Guiliang Zhu, Weiping Wang , Xiaoqiang Zhang and Mengmeng Wang, "Digital Image Encryption Algorithm Based on Pixels", IEEE 2010.
- G.Zhi-Hong, H.Fangjun, and G.Wenjie, "Chaos-base, Image Encryption Algorithm,”Elsevier, pp. 153-157, Oct 2005.
- Rogelio Hasimoto-Beltran and Ashfaq Khichari,"Pixel Level Interleaving scheme for Robust Image Communication," Scalable and Parallel Algorithm Labs, University of Delaware, Newark, Oct 1998.
- Hanpinitsak and C. Charoenlarpnopparut,"2D Interleaver Design for Image Transmission over Severe Burst-Error Environment," International Journal of Future Computer and Communication, pp.308-312, Aug 2013.
- Shengyong Guan, Fuqiang Yao and Chang Wen Chen,"A novel interleaved for image communications with theoretical analysis of characteristics," Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference (Volume:1), July 2002.
- Satoru Yoneyama and Go Murasawa, "Digital Image Correlation," Encyclopedia of Life Support Systems, Digit Imaging. 2008 Sep.
- Du-Yih Tsai, Yongbum Lee and Eri Matsuyama,“Information Entropy Measure for Evaluation of Image Quality", 2008 Sep.
