Quick weighting anisotropism diffusion filtering method based on edge protection

An anisotropic and diffusion filtering technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as low processing efficiency and long filtering time, and achieve improved filtering efficiency, reduced iteration times, edge texture and other detail information protection Effect

Inactive Publication Date: 2015-06-17
TIANJIN UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Second, the model only diffuses from the four directions of top, bottom, left, and right of the central pixel, such as figure 1 , it takes dozens or even hundreds of iterations to complete the filtering, so the processing efficiency is low and the filtering time is long

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
  • Quick weighting anisotropism diffusion filtering method based on edge protection
  • Quick weighting anisotropism diffusion filtering method based on edge protection
  • Quick weighting anisotropism diffusion filtering method based on edge protection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In the noisy image, a large amount of sharp noise is not conducive to the smoothing of the anisotropic diffusion filter, and multiple iterations are required to complete the filtering of the noise. Therefore, the present invention first uses a Gaussian filter to preprocess the noisy image. Appropriately reduce the gradient of the noise points; then use the fast weighted anisotropic diffusion filter to diffuse to filter out the remaining noise. This method not only effectively removes Gaussian noise, but also effectively protects details such as edge textures, and can even enhance edge information.

[0029] a. Noise image preprocessing

[0030] The density of Gaussian noise is large, and the fluctuation range of noise intensity is wide. The degree of image interference by this type of noise will not only vary with different gray levels, but also vary on the same gray level. Compared with impulse noise Difficult to remove. If the anisotropic diffusion filter is directly...

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 relates to the field of image processing and displaying and provides a quick weighting anisotropism diffusion filtering method which can effectively reduce iteration times and improve the filtering efficiency on the basis of guaranteeing the filtering quality. Meanwhile, the quick weighting anisotropism diffusion filtering method can effectively distinguish noise and edge in the condition that the noise density is larger, noise can be effectively removed, and edge detail information of images is prevented from being lost. According to the technical scheme, quick weighting anisotropism diffusion filtering method based on edge protection can firstly uses a Gaussian filter to preprocess noise images, then quick weighting anisotropism diffusion filtering is carried out, a filtering window is expanded to 1+2n, the n is larger than or equal to 1, and the diffusion direction is specifically that the n is equal to 3 or larger than 3 and so on. The quick weighting anisotropism diffusion filtering method is mainly applied to image processing and displaying.

Description

technical field [0001] The invention relates to the field of image processing and display, in particular to a rapidly switching weighted anisotropic diffusion filter based on image edge detection, which can quickly eliminate Gaussian noise in an image while protecting image edge and detail information. technical background [0002] Image filtering and smoothing is a basic problem in image processing, and it is also a tool commonly used in early machine vision. Gaussian noise is mainly generated by electronic circuits or image sensors under conditions of low illumination and high temperature. It pollutes the image seriously and is more difficult to filter out than other types of noise. Early Gaussian noise is often filtered by isotropic filters such as Gaussian low-pass filters. However, a large number of studies have shown that these isotropic filters also blur the important edge information of the image while smoothing the noise. The smoothed image cannot reproduce the str...

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
Inventor 史再峰贾圆圆庞科徐江涛赵升周佳慧
Owner TIANJIN 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