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Similarity assessment of quantum images

  • 01-08-2019
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Abstract

Similarity assessment of quantum images is important in the area of quantum image processing. In this paper, quantum counting is applied to five algorithms for similarity assessment of quantum images, which brings an advantage to the number of quantum measurement. Among these algorithms, one algorithm is suitable for quantum binary image, two algorithms are suitable for quantum gray image and two algorithms are suitable for quantum color images. Moreover, the similarity assessment of quantum gray and color images involves two quantum image binarization algorithms. At the end of the paper, the quantum circuit complexity of these algorithms is analyzed and then an example is given to demonstrate the functionality of the algorithm.

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Title
Similarity assessment of quantum images
Authors
XingAo Liu
Ri-Gui Zhou
Ahmed El-Rafei
Feng-Xin Li
Rui-Qing Xu
Publication date
01-08-2019
Publisher
Springer US
Published in
Quantum Information Processing / Issue 8/2019
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-019-2357-8
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