# Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio

Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio Quantum image processing is one of the most active fields in quantum computation and quantum information processing. Some concepts of quantum images and transformations have emerged in recent years. This paper proposes a quantum algorithm to scale up quantum images based on nearest-neighbor interpolation with integer scaling ratio. Firstly, the novel enhanced quantum representation is improved to the generalized quantum image representation to represent a quantum image with arbitrary size $$H \times W$$ H × W . Then, nearest-neighbor interpolation is used to create new pixels in the enlarged images. Based on them, quantum image scaling up algorithms in the form of circuits are proposed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quantum Information Processing Springer Journals

# Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio

, Volume 14 (11) – Aug 29, 2015
26 pages

/lp/springer_journal/quantum-image-scaling-up-based-on-nearest-neighbor-interpolation-with-tHDtkKu4Yk
Publisher
Springer US
Subject
Physics; Quantum Information Technology, Spintronics; Quantum Computing; Data Structures, Cryptology and Information Theory; Quantum Physics; Mathematical Physics
ISSN
1570-0755
eISSN
1573-1332
D.O.I.
10.1007/s11128-015-1099-5
Publisher site
See Article on Publisher Site

### Abstract

Quantum image processing is one of the most active fields in quantum computation and quantum information processing. Some concepts of quantum images and transformations have emerged in recent years. This paper proposes a quantum algorithm to scale up quantum images based on nearest-neighbor interpolation with integer scaling ratio. Firstly, the novel enhanced quantum representation is improved to the generalized quantum image representation to represent a quantum image with arbitrary size $$H \times W$$ H × W . Then, nearest-neighbor interpolation is used to create new pixels in the enlarged images. Based on them, quantum image scaling up algorithms in the form of circuits are proposed.

### Journal

Quantum Information ProcessingSpringer Journals

Published: Aug 29, 2015

## You’re reading a free preview. Subscribe to read the entire article.

### DeepDyve is your personal research library

It’s your single place to instantly
that matters to you.

over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month ### Explore the DeepDyve Library ### Unlimited reading Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere. ### Stay up to date Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates. ### Organize your research It’s easy to organize your research with our built-in tools. ### Your journals are on DeepDyve Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more. All the latest content is available, no embargo periods. ### DeepDyve Freelancer ### DeepDyve Pro Price FREE$49/month

\$360/year
Save searches from Google Scholar, PubMed
Create lists to organize your research
Export lists, citations