Quantum image convolution method

A convolution method and quantum image technology, applied in quantum computers, instruments, computing models, etc., can solve problems such as insufficient research on quantum image processing algorithms

Inactive Publication Date: 2018-07-13
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In the early stage of the development of the field of quantum image processing, it was mainly devoted to the research of image storage (quantum representation model of image) and restoration (conversion of quantum image into classical image) in quantum computers, which preliminarily solved a key problem of quantum image processing, that is, how to convert Images are stored in quantum systems and read out, and the research on quantum image processing algorithms is far from enough

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Embodiment Construction

[0031] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0032] figure 1 It is a flowchart of the method of the present invention, and the following part is also a detailed description of each content in this technical route.

[0033] (1) Obtain the neighborhood information of any pixel point

[0034] The image representation model selected in this embodiment is shown in formula (1), for an image size of 2 n ×2 n , the gray value range is [0,2 q ], which can be expressed as:

[0035]

[0036] in, Y,X=0,1,...,2 n -1, and |YX> respectively store the grayscale information and position information of the image. |YX>=|y n-1 ,y n-2 ,...,y 0 >|x n-1 ,x n-2 ,...,x 0 >, x i ,y i ∈{0,1} are the ordinate and abscissa of the image position respectively, figure 2 (a) shows a 2×2 image whose mathematical form is:

[0037]

[0038] figure 2 (b) shows that the figure 2 Add 1 to the...

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Abstract

The invention belongs to the technical field of quantum image processing and relates to a quantum image convolution method. The method includes steps: S1, changing transverse or vertical coordinates of a pixel point of an original image by adoption of a coordination transformation mode and periodic boundary conditions to obtain information of the pixel point in neighborhood pixel points; S2, multiplying the neighborhood pixel points with corresponding weights on a template to obtain corresponding weight products, and adding all weight products to obtain convolution of the pixel point; S3, repeatedly executing the step S1-S2 on each pixel point of the image to obtain convolution results of any templates and images. By a quantum adder and a quantum multiplier, convolution of any templates and images on a quantum computer is realized, and the quantum image convolution method is greatly superior to a classical algorithm.

Description

technical field [0001] The invention belongs to the field of quantum image processing and relates to a quantum image convolution method. Background technique [0002] The field of quantum image processing is an interdisciplinary subject of quantum computing and image processing, which started relatively late. It is a very young and dynamic field. In 2003, Beach et al. and Venegas-Andraca et al. defined Quantum Image Processing (Quantum Image Processing), and then began to attract the attention of many scholars. In the early stage of the development of the field of quantum image processing, it was mainly devoted to the research of image storage (quantum representation model of image) and restoration (conversion of quantum image into classical image) in quantum computers, and initially solved a key problem of quantum image processing, namely how to convert Images are stored in quantum systems and read out, and the research on quantum image processing algorithms is far from en...

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Application Information

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IPC IPC(8): G06T1/20G06N99/00
CPCG06T1/20G06N10/00
Inventor 袁素真黄斐黄铉晴吴一玄路永乐罗元袁建国
Owner CHONGQING UNIV OF POSTS & TELECOMM
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