Abstract
Quantum image processing represents an emerging image processing technology by taking advantage of quantum computation. Quantum image processing faces the first question: How is an image stored in and retrieved from a quantum system? To solve the issue, the authors provide six quantum image representations, which can be divided into three categories. The first, second, and third categories store color information using amplitudes, phases, and basis states, respectively. Next, they design their circuits to implement the storage of quantum image. Then, retrieval methods are introduced. The storage and retrieval technologies of quantum image are the basis and premise condition to process quantum images.
Reference23 articles.
1. Complex floating point—A novel data word representation for DSP processors.;N.Cohen;IEEE Transactions on Circuits and Systems. I, Regular Papers,2012
2. Simulating physics with computers.;R. P.Feynman;International Journal of Theoretical Physics,1982
3. Quantum image scaling using nearest neighbor interpolation.;N.Jiang;Quantum Information Processing,2015
4. Kahan, W. (1996). IEEE Standard 754 for Binary Floating-Point Arithmetic, IEEE Standard 754.94720-1776. Lecture Notes on the Status, 11.
5. A flexible representation of quantum images for polynomial preparation, image compression, and processing operations.;P. Q.Le;Quantum Information Processing,2011