Authors: Gaofeng Luo; Shexiang Jiang; Liang Zong
Addresses: College of Information Engineering, Shaoyang University, Shaoyang, China ' School of Computer Science and Engineering, Anhui University of Science and Engineering, Huaunan, 232001, China ' College of Information Engineering, Shaoyang University, Shaoyang, China
Abstract: Quantum information processing can overcome the limitations of classical computation. Consequently, image filtering using quantum computation has become a research hotspot. Here, a quantum algorithm is presented on the basis of the classical image filtering principle to detect and cancel the noise of an image. To this end, a quantum algorithm that completes the image filtering task is proposed and implemented. The novel enhanced quantum representation of digital images is introduced. Then, four basic modules, namely, position-shifting, parallel-CNOT, parallel-swap, and compare the max, are demonstrated. Two composite modules that can be utilised to realise the reversible logic circuit of the proposed quantum algorithm are designed on the basis of these basic modules. Simulation-based experimental results show the feasibility and the capabilities of the proposed quantum image filtering scheme. In addition, our proposal has outperformed its classical counterpart and other existing quantum image filtering schemes supported by detailed theoretical analysis of the computational complexity. Thus, it can potentially be used for highly efficient image filtering in a quantum computer age.
Keywords: quantum computing; reversible logic circuit; image filtering.
International Journal of Embedded Systems, 2021 Vol.14 No.3, pp.248 - 258
Received: 10 Mar 2020
Accepted: 13 May 2020
Published online: 12 Jul 2021 *