Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Quantum image convolution method
  • Quantum image convolution method
  • Quantum image convolution method

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com