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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
It also uses fewer qubits than existing models in the literature.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, we propose quantum representation of multiwavelength images (QRMW) that gives preparation and retrieving procedures of quantum images.
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Key Findings & Data:The proposed QRMW model represents multichannel and $2^{n}\times 2^{m}$ images.
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Conclusion & Impact:It also uses fewer qubits than existing models in the literature.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Multiwavelength quantum images · QRMW model · quantum image processing
Abstract
In this study, we propose quantum representation of multiwavelength images (QRMW) that gives preparation and retrieving procedures of quantum images. The proposed QRMW model represents multichannel and $2^{n}\times 2^{m}$ images. Moreover, we present image comparison and some image operations based on the QRMW model. Comparing our model with the models in the literature, the QRMW model has less time complexity. It also uses fewer qubits than existing models in the literature.
Keywords
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Cite This Article
ŞAHİN, E., YILMAZ, İ. (2018). QRMW: quantum representation of multi wavelength images. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 26 - Sayı: 2, 768–779. https://ajindex.com/articles/187221