Image denoising method

A technology in images and images, applied in the field of image denoising, can solve the problems of ineffective removal of impulse noise and poor Gaussian noise filtering effect, and achieve the effect of ensuring authenticity and improving signal-to-noise ratio

Inactive Publication Date: 2016-04-27
国网四川省电力公司天府新区供电公司 +1
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the median filtering effect on Gaussian noise is not good, and the wavelet image denoising method cannot effectively remove impulse noise, and in many cases, impulse noise and Gaussian noise appear simultaneously in the image

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
  • Image denoising method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Please refer to figure 1 as shown, figure 1 The flow chart of the image denoising method provided by the embodiment of the present invention.

[0025] In this embodiment, the image denoising method specifically includes the following steps:

[0026] S101. Compare the gray value of the image pixel with the gray value of its neighboring points, and determine whether the pixel is a quasi-impulse noise point.

[0027] Impulse noise is some pollution points with small or large gray values ​​generated in the image due to some reasons. These points are obviously different from other pixels in gray features, and are generally gray in their neighborhood. extreme point. Therefore, comparing the gray value of an image pixel with the gray value of its neighboring points can determine whether the pixel is an impulse noise point. However, there are also extremum points in the smooth gray area of ​​the image without noise points or in the area with strong boundaries, so not all ex...

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 present invention discloses an image denoising method. For an image with a pulse noise and a Gaussian noise, through detecting and separating a pulse noise point, a pixel which is polluted by the pulse noise is subjected to median filter processing in a spatial domain, then a processed image is converted into a wavelet domain, and a wavelet denoising method is employed to remove the Gaussian noise in the image. By using the method, the pulse noise and the Gaussian noise in the image can be effectively removed, the authenticity of image transmission is ensured, the signal to noise ratio is raised, and the desired characteristic of the image is highlighted.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to an image denoising method. Background technique [0002] With the introduction of the concept of information superhighway and digital earth and the wide application of Internet, non-language services in information transmission are also increasing rapidly. Among them, image information has become the main source of information for human beings and an important means of using information due to its large amount of information, fast transmission speed, and long range of action. However, digital images are often affected by factors such as equipment and environment during the acquisition and transmission process, which makes the image quality deteriorate and contain various random noises. Noise pollution makes the image deviate from the real scene, which greatly affects the accuracy of people extracting information from the image, so it is necessary to eliminat...

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
CPCG06T5/002G06T2207/20032G06T2207/20064
Inventor 崔明德罗劲庞军彭化强
Owner 国网四川省电力公司天府新区供电公司
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