Authors
Nan Jiang, Luo Wang
Publication date
2015/5
Journal
Quantum Information Processing
Volume
14
Pages
1559-1571
Publisher
Springer US
Description
Although image scaling algorithms in classical image processing have been extensively studied and widely used as basic image transformation methods, the quantum versions do not exist. Therefore, this paper proposes quantum algorithms and circuits to realize the quantum image scaling based on the improved novel enhanced quantum representation (INEQR) for quantum images. It is necessary to use interpolation in image scaling because there is an increase or a decrease in the number of pixels. The interpolation method used in this paper is nearest neighbor which is simple and easy to realize. First, NEQR is improved into INEQR to represent images sized . Based on it, quantum circuits for image scaling using nearest neighbor interpolation from to are proposed. It is the first time to give the quantum image processing method that changes the size of an image. The quantum …
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