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Abstract.Arithmetic operations on images are important primary transformations that can be applied to many complicated image operations. We mainly study the intensity-based arithmetic operations on the QIRHSI quantum image representation model to facilitate the development of quantum image processing. The quantum circuits and unitary matrices for four arithmetic operations including reverse, complement, addition, and subtraction are proposed. Finally, the complexity analysis of quantum networks is illustrated to show the effectiveness of the proposed arithmetic operations.
Journal of Electronic Imaging – SPIE
Published: May 1, 2022
Keywords: quantum computation; quantum image representation; quantum arithmetic operations; quantum circuit; intensity operations
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