Quantum multiple gray scale images encryption scheme in the bit plane representation model
This work addresses secure image encryption for quantum computing applications, presenting a new method but appearing incremental as it builds on existing quantum techniques like baker maps and chaotic systems.
The authors tackled the problem of encrypting multiple grayscale images on a quantum computer by introducing a bit-plane quantum representation and a two-stage scrambling method using quantum baker maps, followed by diffusion with controlled CNOT gates based on chaotic maps and Chebyshev polynomials, achieving a novel encryption scheme with decryption via inverse quantum gates.
After introducing a bit-plane quantum representation for a multi-image, we present a novel way to encrypt/decrypt multiple images using a quantum computer. Our encryption scheme is based on a two-stage scrambling of the images and of the bit planes on one hand and of the pixel positions on the other hand, each time using quantum baker maps. The resulting quantum multi-image is then diffused with controlled CNOT gates using a sine chaotification of a two-dimensional Hénon map as well as Chebyshev polynomials. The decryption is processed by operating all the inverse quantum gates in the reverse order.