Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing
By Nanrun Zhou, Aidi Zhang, Fen Zheng, L. Gong. 2014
319 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/bfdba661febc007efa6b5a20dbacf75ad71146ca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
In Computer Vision and Pattern Recognition
- Ayman Alfalou
- Christian Brosseau
- Elisabet Pérez-Cabre
- María Sagrario Millán
- Takanori Nomura
- Bahram Javidi
- John T. Sheridan
- Changliang Guo
Citations in the corpus
- Exploiting self-adaptive permutation-diffusion and DNA random encoding for secure and efficient image encryption (2018, background): “The innovations lie in various aspects, such as novel permutation techniques [3-6, 8-10], new diffusion approaches [7, 11, 12], high security key stream generators [13], simultaneous image encryption-compression scheme [14, 15], as well as novel transform domains [16, 17].”
- Roadmap on optical security (2016, background): “solutions to this problem, such as generating it from pseudorandom sequences, and others such as in [66].”