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JACIII Vol.17 No.3 pp. 404-417
doi: 10.20965/jaciii.2013.p0404
(2013)

Paper:

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An RGB Multi-Channel Representation for Images on Quantum Computers

Bo Sun, Abdullah M. Iliyasu, Fei Yan,
Fangyan Dong, and Kaoru Hirota

Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

Received:
December 25, 2012
Accepted:
February 27, 2013
Published:
May 20, 2013
Creative Commons License
Keywords:
quantum computation, image processing, quantum image, quantum circuit, color space
Abstract
RGB multi channel representation is proposed for images on quantum computers (MCQI) that captures information about colors (RGB channels) and their corresponding positions in an image in a normalized quantum state. The proposed representation makes it possible to store the RGB information about an image simultaneously by using 2n+3 qubits for encoding 2n × 2n pixel images, whereas pixel-wise processing is necessary in many other quantum image representations, e.g., qubit lattice, grid qubit, and quantum lattice. Simulation of storage and retrieval of MCQI images using human facial images demonstrated that 15 qubits are required for encoding 64 × 64 colored images, and encoded information is retrieved by measurement. Perspectives of designing quantum image operators are also discussed based onMCQI representation, e.g., channel of interest, channel swapping, and restrict version of color transformation.
Cite this article as:
B. Sun, A. Iliyasu, F. Yan, F. Dong, and K. Hirota, “An RGB Multi-Channel Representation for Images on Quantum Computers,” J. Adv. Comput. Intell. Intell. Inform., Vol.17 No.3, pp. 404-417, 2013.
Data files:
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