Presentation + Paper
21 April 2020 Quaternion quantum image representation: new models
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Abstract
In quaternion algebra the color images are processed not by separating their color components, but these components are presented and processed together as one unit. In framework of the quaternion image representation, many effective methods of processing color images can be developed, including image enhancement in spatial and frequency domains. In this paper, we unite two approaches for processing color images, by proposing a quaternion representation in quantum imaging, which includes the color images in the RGB model together with the grayscale component or brightness. The concept of quaternion two-qubit is considered and applied for image representation in each quantum pixel. The colors at each pixel are processed as one unit in quaternion representation. Other new models for quaternion image representation are also described. It is shown that a quaternion image or four component image of 𝑁 × π‘€ pixels, can be represented by (π‘Ÿ + 𝑠 + 2) qubits, when 𝑁 = 2π‘Ÿ and 𝑀 = 2𝑠, π‘Ÿ, 𝑠 > 1. The number of qubits for representing the image can be reduced to (π‘Ÿ + 𝑠), when using the quaternion 2-qubit concept.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Artyom M. Grigoryan and Sos Agaian "Quaternion quantum image representation: new models", Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 113990O (21 April 2020); https://doi.org/10.1117/12.2557862
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Quantum communications

RGB color model

Image processing

Color image processing

Image enhancement

Quantum computing

Fourier transforms

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