Quantum Image Scaling Based on Bilinear Interpolation with Decimals Scaling Ratio

Quantum image scaling is an important branch of quantum image processing and has been extensively studied in recent years. A quantum image scaling algorithm based on bilinear interpolation is proposed in this paper. This algorithm can scale the image of any floating point number scale. Quantum arith...

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Veröffentlicht in:International journal of theoretical physics 2021-06, Vol.60 (6), p.2115-2144
Hauptverfasser: Zhou, Ri-Gui, Wan, Chuan
Format: Artikel
Sprache:eng
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Zusammenfassung:Quantum image scaling is an important branch of quantum image processing and has been extensively studied in recent years. A quantum image scaling algorithm based on bilinear interpolation is proposed in this paper. This algorithm can scale the image of any floating point number scale. Quantum arithmetics for floating point numbers are proposed, and quantum algorithms for quantum image scaling up and down are presented. Moreover, the quantum circuits of quantum image scaling are designed and their network complexity is analyzed. With the results of simulation experiment on the classical computer MATLAB software, it is demonstrated that the proposed quantum image scaling algorithms have the good effect.
ISSN:0020-7748
1572-9575
DOI:10.1007/s10773-021-04829-6