Quantum Block-Matching Algorithm Using Dissimilarity Measure
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0989-2_15
Reference20 articles.
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2. Bharti, K., et al.: Noisy intermediate-scale quantum algorithms. Rev. Mod. Phys. 94, 015004 (2022). https://doi.org/10.1103/RevModPhys.94.015004
3. Brunelli, R.: Template Matching Techniques in Computer Vision (2009). https://doi.org/10.1002/9780470744055
4. Dang, Y., Jiang, N., Hu, H., Zhang, W.: Analysis and improvement of the quantum image matching. Quantum Inf. Process. 16 (2017). https://doi.org/10.1007/s11128-017-1723-7
5. De Jesús Martínez Felipe, M., Felipe Riverón, E.M., Martínez Castro, J.A., Pogrebnyak, O.: Noisy image block matching based on dissimilarity measure in discrete cosine transform domain. J. Intell. Fuzzy Syst. 36(4), 3169–3176 (2019). https://doi.org/10.3233/JIFS-18533. Cited by: 1
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