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

Remote sensing image denoising method based on quantum Fourier transform

A Fourier transform and remote sensing image technology, applied in the field of image processing, can solve the problems of high time complexity, high time cost, and inability to meet real-time requirements of wavelet transform algorithm, so as to ensure noise suppression ability, reduce Time complexity, the effect of improving efficiency

Active Publication Date: 2021-03-19
XIAN MICROELECTRONICS TECH INST +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage is that the time spent on image denoising mainly depends on the wavelet transform process. Due to the high time complexity of the wavelet transform algorithm, when faced with a large number of complex remote sensing images, the denoising process requires a high time cost. , so it cannot better meet the real-time requirements

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
  • Remote sensing image denoising method based on quantum Fourier transform
  • Remote sensing image denoising method based on quantum Fourier transform
  • Remote sensing image denoising method based on quantum Fourier transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] refer to figure 1 , the present invention comprises the following steps:

[0035] Step 1) Quantize the airspace remote sensing image:

[0036] Acquire S airspace remote sensing images F={F 1 , F 2 ,...,F s ,...,F S}, and perform quantization coding on it; quantum image coding methods include qubit lattice method, FRQI method, NEQR method and QImR method, etc. The qubit lattice method uses a qubit to represent each pixel of the image, which requires a large number of qubits and a large memory footprint; the FRQI method associates pixel values ​​and pixel positions in the form of quantum state tensor products, using a Qubits encode pixel values. In the preparation process, each quantum state needs to be operated one by one, which is very complicated and time-consuming; the NEQR method associates pixel values ​​and pixel pos...

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 image processing, and relates to a remote sensing image denoising method based on quantum Fourier transform, which aims to improve the remote sensing image denoising speed on the premise of ensuring that the denoising effect is not reduced, and comprises the following steps of: 1) performing quantization coding on an airspace remote sensing image; 2)performing quantum Fourier transform on each spatial domain quantum remote sensing image in a quantum computer; 3) performing quantum filtering on each frequency domain quantum remote sensing image in a quantum computer; and 4) obtaining a denoising result of each airspace remote sensing image in the quantum computer. According to the method, a QImR encoding method and quantum Fourier transform are adopted, so that a large number of pixel values in the remote sensing image can be stored in a small number of quantum bits and can be calculated at the same time, the time complexity is reduced, meanwhile, a quantum filtering function is adopted to suppress high-frequency signals, and therefore, on the premise that the noise suppression capability of the remote sensing image is not affected, denoising efficiency is raised.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a remote sensing image denoising method based on quantum Fourier transform. Background technique [0002] Remote sensing images are affected by many complex factors such as equipment and weather in the process of imaging and dissemination, which will introduce a lot of noise, resulting in blurred information and missing edges of remote sensing images. Suppressing the noise of remote sensing images is the prerequisite for the edge informatization of remote sensing images, as well as the accurate implementation of subsequent applications such as remote sensing image segmentation and remote sensing image classification. In order to realize the noise suppression of remote sensing images, the denoising method has become an important problem in the research of remote sensing images. Remote sensing image denoising methods are mainly divided into two categories: one is the remote...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10032G06T2207/20056G06T5/70
Inventor 马钟杨丹青毛鹤亭赵裴翔赵逸群刘睿娇魏璐刘倩玉李阳阳
Owner XIAN MICROELECTRONICS TECH INST
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