A systematic review of quantum image processing: Representation, applications and future perspectives

IF 13.3 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Science Review Pub Date : 2025-05-06 DOI:10.1016/j.cosrev.2025.100763

Umar Farooq , Parvinder Singh , Atul Kumar

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引用次数: 0

Abstract

Quantum image processing uses quantum hardware to revolutionize the storage, recovery, processing, and security of quantum images across diverse applications. Although researchers have explored various facets of quantum image processing, a comprehensive systematic literature review encompassing all domains is essential for theoretical and experimental progress. This article aims to bridge this gap by systematically analyzing advancements in this field, drawing insights from a thorough review of 135 research articles published beyond 2003. Our study examines core components of quantum image processing, such as quantum image representations, advanced algorithms, transformative techniques like Quantum Fourier and Wavelet Transforms, and robust security measures. It further explores the synergy between quantum machine learning and image processing for improved classification and recognition. In addition, the study also discusses the limitations of existing research, summarizes its essential aspects, highlights gaps and challenges, and finally, provides recommendations for future research and innovations.

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量子图像处理的系统综述：表征、应用和未来展望

量子图像处理使用量子硬件彻底改变了不同应用中量子图像的存储、恢复、处理和安全性。尽管研究人员已经探索了量子图像处理的各个方面，但对所有领域进行全面系统的文献综述对于理论和实验进展至关重要。本文旨在通过对2003年以来发表的135篇研究论文的全面回顾，系统分析该领域的进展，从而弥合这一差距。我们的研究考察了量子图像处理的核心组成部分，如量子图像表示、高级算法、量子傅立叶变换和小波变换等变换技术，以及强大的安全措施。它进一步探讨了量子机器学习和图像处理之间的协同作用，以改进分类和识别。此外，本研究还讨论了现有研究的局限性，总结了其本质方面，突出了差距和挑战，并对未来的研究和创新提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Science Review Computer Science-General Computer Science

CiteScore

32.70

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.