Abstract
Quantum image representation (QIR) is a necessary part of quantum image processing (QIP) and plays an important role in quantum information processing. To address the problems that NCQI cannot handle images with inconsistent horizontal and vertical position sizes and multi-channel image processing, an improved color digital image quantum representation (INCQI) model based on NCQI is proposed in this paper. The INCQI model can process color images and facilitate multi-channel quantum image transformations and transparency information processing of images using auxiliary quantum bits. In addition, the quantum image control circuit was designed based on INCQI. And quantum image preparation experiments were conducted on IBM Quantum Experience (IBMQ) to verify the feasibility and effectiveness of INCQI quantum image preparation. The prepared image information was obtained by quantum measurement in the experiment, and the visualization of quantum information was successfully realized. The research in this paper has some reference value for the research related to QIP.
Highlights
Quantum image representation (QIR) is a necessary part of quantum image processing (QIP) and plays an important role in quantum information processing
If the image is divided according to the color model, it can be divided into quantum image representations based on binary information, quantum image representations based on gray level, quantum image representations based on RGB model and quantum image representations based on infrared image
Quantum image representations based on the RGB model are capable of representing color images, which can be divided into two categories, one of which uses two sets of quantum ground states to represent color information and position information, such as the QSMC&QSNC, and the other uses angles to represent RGB information and represents the image by performing tensor product operation with position information, such as the multi-channel quantum images (MCQI)
Summary
Quantum image representation (QIR) is a necessary part of quantum image processing (QIP) and plays an important role in quantum information processing. The quantum representation uses n1 + n2 + 4q qubits to achieve the purpose of compiling multichannel color information, and it has the geometric operations (such as two-point transformation, image flip and rotation, etc.) that the FRQI have, and those functions of the MCQI for multi-channel color operations, and it can use NOT gates, CNOT gates, and SWAP gates to implement the four channelsof R, G, B, and α operations This expression can solve the problem that the scaled image size is no longer in the form of 2n × 2n when the horizontal scaling of the image and the vertical blooming scale are not equal, and it can handle well for quantum images of the form similar to 2n1 × 2n2. The reference quantum image representation NCQI and the improved quantum image representation INCQI are described in detail
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