Quantum color image sharpening filtering method and system

Abstract

The invention relates to a quantum color image sharpening filtering method and system, and belongs to the field of quantum computing. The method comprises the following steps: S1, preparing a QRMW expression of a to-be-processed image and an eight-neighborhood image of the to-be-processed image; s2, designing a quantum circuit of quantum color image sharpening filtering based on a Sobel operator, and calculating the quantum color image prepared in S1 and an eight-neighborhood image of the quantum color image to obtain an edge gradient; and S3, measuring the quantum color image expression processed in the S2 to obtain information in the image expression, and converting the information into classic color image information. According to the invention, by multiplexing the auxiliary bits and optimizing the preparation of the color image, the quantum color image sharpening filtering algorithm based on the Sobel operator is realized, the performance of quantum color image processing is greatly improved, and a foundation is laid for the subsequent processing of the quantum image.

Description

technical field [0001] The invention belongs to the field of quantum computing, and relates to a quantum color image sharpening and filtering method and system. Background technique [0002] Quantum image processing is an emerging discipline, which focuses on extending traditional image processing tasks and operations to the quantum computing framework. The main work is to use quantum computing technology to capture, manipulate, and restore quantum images in different formats and for different purposes [1 ,2]. With the rapid development of quantum computing and quantum information, quantum computers show a brighter prospect than classical computers. [0003] Edge detection is a basic problem in image processing and computer vision. Its purpose is to identify points with obvious brightness changes in digital images, and then perform mathematical operations with the original image. The original image obtained is more suitable for human recognition or subsequent processing by ...

AI Technical Summary

Problems solved by technology

However, due to the dramatic increase of image data in practical applications, real-time issues have become a limitation of classical image processing

In the field of classical image processing, the research on the sharpening filter of color images has been relatively mature, but the quantum image sharpening filter has only been proposed by researchers in recent years. It is in its infancy and is not yet perfect.

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