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A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms

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Abstract

Quantum image processing is a significant branch of Quantum computing and is widely used in various industrial and research-based applications. Quantum image processing algorithms can be developed by utilizing different features of Quantum mechanics principles and image processing. This paper aims to provide a detailed review that addresses related Quantum image processing and Quantum Boolean image denoising techniques for real-time-based applications. The recent advancement in Quantum computing has led to multidisciplinary research in Quantum image processing that can process large amounts of image data at once. The characteristics of Quantum principles like parallelism, Entanglement, Fourier transformation, Filter superposition, and noise reduction provide various advantages for image processing over conventional ones. The performance measures of all Quantum-based image processing techniques are also compared and highlighted briefly to motivate innovative Quantum processing researchers. This paper also discusses the errors that occur due to sensitive characteristics of the Quantum system. The various algorithms of Quantum image denoising are discussed in the research discussion by implementing all on IBM Qiskit libraries.

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Acknowledgements

The research is mostly focused on the development of Quantum computing and image processing tools. Many scholars find it to be an intriguing field with many outstanding problems. In this paper, the obstacles and future developments in Quantum image processing and denoising are also summarized and projected. This work will aid researchers in understanding improvements in Quantum image denoising in the field of Quantum image processing and hence has some reference value.

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  1. ECE, Delhi Technological University, Bawana, New Delhi, Delhi, 110042, India

    Barkha Singh, Sudipta Majumdar & Sreedevi Indu

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The author wants to thank Delhi Technological University for providing lab facilities The author also wishes to thank Prof. Sree-devi Indu and Dr. Sudipta Majumdar for their assistance in typing the first draft of this work. Similarly, the author appreciates the support of both the writers and the editors of the articles featured in the review, many of whom not only gave permission to reproduce some of their figures but were also gracious enough to assist with high-quality versions of such images. The manuscript was written by Barkha Singh, and edited by Prof. Sree-devi Indu and Dr. Sudipta Majumdar. All authors read and approved the final manuscript.

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Singh, B., Majumdar, S. & Indu, S. A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms. Quantum Stud.: Math. Found. (2024). https://doi.org/10.1007/s40509-024-00330-x

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