Quantum Image Encryption Algorithm Based on Quantum Key Image

Quantum image encryption is a hot research topic in recent years. In this paper, a novel quantum image encryption algorithm based on quantum key image is presented, which has low complexity than other algorithms. The quantum key image is a special quantum image which is used to store the encryption...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of theoretical physics Jg. 58; H. 1; S. 308 - 322
Hauptverfasser: Wang, Jian, Geng, Ya-Cong, Han, Lei, Liu, Ji-Qiang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.01.2019
Springer Nature B.V
Schlagworte:
Advertising to sales ratio
Algorithms
Complexity
Computer simulation
Elementary Particles
Film & stage music
Mathematical and Computational Physics
Physics
Physics and Astronomy
Quantum cryptography
Quantum encryption
Quantum Field Theory
Quantum Physics
Theoretical
XOR operation
Quantum key image
Quantum image encryption
Quantum circuit
ISSN:0020-7748, 1572-9575
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Quantum image encryption is a hot research topic in recent years. In this paper, a novel quantum image encryption algorithm based on quantum key image is presented, which has low complexity than other algorithms. The quantum key image is a special quantum image which is used to store the encryption keys. The encryption keys are generated by a cryptographic algorithm, and are prepared into the gray value of the quantum key image. Based on this quantum key image, the plain image does the XOR operations with it bit by bit. The circuit of the encryption algorthm is given, and the numerical simulations and theoretical analyses are done. The proposed encryption quantum image algorithm is efficiency, and it has large key space and lower computational complexity.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0020-7748
1572-9575
DOI:10.1007/s10773-018-3932-y