Quantum Image Chaotic Cryptography Scheme Based on Arnold Transforms

For improving the resolution of quantum decrypted image and computation complexity under the premise of ensuring quantum image cryptography algorithm security, an approach to quantum image chaotic encryption scheme based on Arnold transforms is proposed. In the paper, the chaotic signals generated by quantum cellular neural network are applied to control quantum Arnold transforms, quantum SWAP and quantum Controlled NOT (CNOT) operations which are utilized to process the plain quantum image to obtain the corresponding cipher image. Theoretical analyses show that the advantages of high security, fine resolution of decrypted images and considerable computation complexity are all presented in the proposed quantum gray image encryption scheme.