Adaptive Quantum Image Encryption Method Based on Wavelet Transform

TL;DR

This paper presents an adaptive quantum image encryption method leveraging wavelet transform to focus on low frequency information, reducing workload and enhancing security with quantum circuits and XOR encryption.

Contribution

It introduces a novel quantum image encryption approach that selectively encrypts low frequency components using wavelet transform and quantum XOR operations, improving efficiency and security.

Findings

Higher security demonstrated through statistical analysis

Lower computational complexity compared to existing methods

Effective encryption of large image datasets in network transmission

Abstract

An adaptive quantum image encryption method based on wavelet transform is designed. Since the characteristic of most information is centralized in the low frequency part after performing the wavelet transform, it reserves the image low frequency information only, so as to reduce the encryption workload. Then it encrypts the low frequency information by the random key stream generated by logistic map, the encryption process is realized by implementing XOR operation. In the decryption process, it carries out zero filling operations for high frequency coefficient to recover the decryption images which are equal to the plain images. At the same time, the relevant quantum logical circuit is designed. Statistical simulation and theoretical analysis demonstrate that the proposed quantum image encryption algorithm has higher security and lower computational complexity. So it is adaptive to the scenes that need to encrypt a large number of images during network transmission.