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A new quantum multi-channel Red-Green-Blue (RGB) representation for digital images including the preparation and retrieving procedure is proposed. In our method, the images are represented by using two entangled qubit sequences where the first sequence are employed to encode the RGB color information of the pixel and the second one denotes the position of it. The potential applications of the proposed representation, which introduces some useful quantum image processing operators is discussed and supported by software simulations. [ABSTRACT FROM AUTHOR]

Image matching, also known as correspondence problem, can be defined as the establishment of the correspondence between two or more digital images depicting at least partly the same scene. In this paper, we propose a method for matching gray-scale images consisting of quantum information. Quantum template image is directly mapped with quantum reference image, i.e., the quantum register representing each corresponding pixel of the quantum template image is subtracted from that of the quantum reference image by running a quantum subtracter. According to the quantum measurement results, we can save the gray-scale difference and sum all the differences. Then we compare the sum with Tolerance value. If the sum is smaller than Tolerance value, then quantum image matching succeeds. Experimental simulations show that the proposed approach can distinguish any two quantum gray-scale images successfully. Compared to the schemes based on flexible representation of quantum images (FRQI), our approach based on novel enhanced quantum representation of digital images (NEQR) has the advantages of retrieving the original classical image accurately from the quantum image so that it can be generalized to the case where the dimension of quantum template image is smaller than that of quantum reference image. [ABSTRACT FROM AUTHOR]

Efficient and general quantum image representation and preparation are the precondition of quantum image processing. The multi-mode quantum image representation is compatible with many important color modes. Studying image preparation and image processing will help to further improve the universality of quantum image on different application fields. In this paper, we improve the multi-mode quantum image representation to reduce the difficulty of entanglement preparation. We give a detailed image preparation process and algorithm based on this proved representation. Then, to reduce the number of Not-gates in preparation circuits, the optimal preparation is proposed. Furthermore, we give the reproduction circuit based on these preparations. The preparation and reproduction experiments are performed on the IBM Quantum lab platform. The circuits and the Bell-state statistic histograms of the measurement collapse are given. The results show that the preparations and reproduction are correct and efficient. [ABSTRACT FROM AUTHOR]