Interval threshold image denoising method based on BEMD

An image and threshold technology, applied in the field of image denoising, can solve the problems of error, loss of texture information and decomposition characteristics, and achieve the effect of improving denoising performance

Pending Publication Date: 2019-08-16
SOUTHEAST UNIV
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the field of image denoising, although the existing BEMD denoising algorithm has a certain denoising effect, there are still errors caused by a large loss of texture information and failure to consider the BEMD decomposition characteristics.

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
  • Interval threshold image denoising method based on BEMD
  • Interval threshold image denoising method based on BEMD
  • Interval threshold image denoising method based on BEMD

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0033] The invention provides a BEMD-based interval threshold image denoising method. The method uses the self-similarity of the image to extend the boundary of the image to be denoised, effectively suppressing the end effect of the BEMD algorithm, and using the BEMD algorithm to perform multiple denoising on the continuation image. Scale decomposition yields a series of two-dimensional intrinsic mode functions. Then, the interval threshold denoising is performed on the BIMF component whose noise is the main component, and finally the BIMF components of each order are added and reconstructed to achieve the purpose of denoising. The denoising effect of the method of the invention is better than that of the existing BEMD denoising algorithm, and also has advantages compared with the traditional denoising algorithm.

[0034] Based on the MATLAB 20...

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 discloses an interval threshold image denoising method based on BEMD, which is an interval threshold image denoising algorithm based on two-dimensional empirical mode decomposition. According to the method, boundary extension is carried out on an image to be denoised by using the self-similarity of the image, the end effect existing in a BEMD algorithm is effectively inhibited, and multi-scale decomposition is carried out on the extended image by using the BEMD algorithm to obtain a series of two-dimensional intrinsic mode functions. Interval threshold denoising is conducted on the BIMF components with the noise occupying the main components, and finally all orders of BIMF components are added and reconstructed to achieve the purpose of denoising. Experiments show that the denoising effect of the method is superior to that of an existing BEMD denoising algorithm, and compared with a traditional denoising algorithm, the method also has advantages.

Description

technical field [0001] The invention relates to the field of image denoising, in particular to a BEMD-based interval threshold image denoising method. Background technique [0002] The advancement of modern computer technology has greatly promoted the research and development of image processing technology. High-quality, clear images are the basis for research and analysis in the field of image processing. In practice, images are often interfered to a certain extent due to their own or external factors such as devices and lighting during the process of formation, acquisition or transmission. The noise generated by the interference will blur or even cover the edge and texture of the object to be studied in the image, which affects the accurate expression of the original information of the image and reduces the accuracy of the processing results. Therefore, how to effectively remove noise from the distorted signal and restore the original image is a crucial preprocessing link...

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
CPCG06T5/002
Inventor 夏亦犁廖婷婷裴文江
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap