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Development and Research of Quantum Models for Image Conversion

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Artificial Intelligence and Soft Computing (ICAISC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12855))

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Abstract

Quantum imaging is a new trend that is showing promising results as a powerful addition to the arsenal of imaging techniques. Per-pixel representation of an image using classical information requires a huge amount of computational resources. Hence, exploring techniques for representing images in a different information paradigm is important. This paper describes the variety of options for representing images in quantum information. Image processing is a well-established area of computer science with many applications in today’s world such as face recognition, image analysis, image segmentation and noise reduction using a wide range of techniques. A promising first step was the exponentially efficient implementation of the Fourier transform in quantum computers versus the FFT in classical computers. In addition, images encoded in quantum information can obey unique quantum properties such as superposition or entanglement. The laws of quantum mechanics can reduce the required resources for some tasks by many orders of magnitude if the image data is encoded in the quantum state of a suitable physical system. The aim of this work is to develop and study quantum models of image transformation.

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Acknowledgments

The research was funded by the Russian Foundation for Basic Research according to the project № 19-07-01082.

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Authors and Affiliations

  1. South Federal University, Taganrog, Russia

    Samoylov Alexey, Gushanskyi Sergey & Potapov Viktor

Authors
  1. Samoylov Alexey
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  2. Gushanskyi Sergey
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  3. Potapov Viktor
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Corresponding author

Correspondence to Potapov Viktor .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Alexey, S., Sergey, G., Viktor, P. (2021). Development and Research of Quantum Models for Image Conversion. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2021. Lecture Notes in Computer Science(), vol 12855. Springer, Cham. https://doi.org/10.1007/978-3-030-87897-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-87897-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87896-2

  • Online ISBN: 978-3-030-87897-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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