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

Method and system for image noise reduction

An image noise reduction and noise reduction technology, applied in the field of image noise reduction, can solve the problems of image edge attenuation, image quality reduction, image blurring, etc., and achieve the effect of accelerating calculation speed, simple calculation process and improving quality

Inactive Publication Date: 2016-06-08
LEADCORE TECH
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The object of the present invention is to provide a kind of image denoising method and system, to solve the use of the image denoising method in the prior art, the attenuation of the image edge (that is, the detail part) will occur, so that the image after processing is better than the image before processing. Blurring, issues that reduce image quality

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
  • Method and system for image noise reduction
  • Method and system for image noise reduction
  • Method and system for image noise reduction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The image noise reduction method and system proposed by the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0045] Please refer to figure 1 , which is a flowchart of the image noise reduction method of the present invention, such as figure 1 Shown, described image denoising method comprises the steps:

[0046] Firstly, step S1 is executed to determine the boundary threshold between the high-frequency region and the low-frequency region of the image.

[0047]Specifically, the step S1 includes the following steps: counting the gradient difference of the gray value o...

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 provides a method and a system for image noise reduction. According to the method, a boundary threshold of a high frequency area and a low frequency area of an image is determined, whether pixel points of the image belong to the high frequency area or the low frequency area is determined respectively, the pixel points in the high frequency area or the low frequency area of the image can be independently processed according to demands, problems of serious loss of detail portions of the image and the fuzzy effect of the image after noise reduction existing in an image noise reduction method in the prior art can be solved, relatively strong adaptability is realized, and quality of the image after noise reduction is improved, moreover, a shift summation method taking columns as units is employed to calculate sum of gray values of all pixel points in each window, calculation repetition is reduced, the calculation process is simple, and the calculation speed is accelerated.

Description

technical field [0001] The invention relates to the technical field of image noise reduction, in particular to an image noise reduction method and system. Background technique [0002] Digital images are often affected by imaging equipment and external environmental noise interference during digitization and transmission, resulting in a decrease in image quality. Among them, the existence of noise will cause the following effects: (1) The existence of noise affects the subjective visual effect. Severe noise will distort the image and lose its essential data characteristics. (2) Noise will reduce the quality and accuracy of image data, and will affect the accuracy of subsequent image edge detection and image recognition. [0003] Based on the above content, we can see that the existence of noise has a direct impact on subsequent higher-level processing such as image segmentation, feature extraction, and image recognition. Therefore, effective suppression of noise plays a v...

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 陈爽张婷袁兰
Owner LEADCORE TECH
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