Supercharge Your Innovation With Domain-Expert AI Agents!

Effective image noise detection and removal method and system

An image noise and image technology, applied in the field of noise intensity detection and noise removal of natural images, can solve problems such as noise and difference measurement, and achieve the effect of high measurement accuracy

Active Publication Date: 2018-11-30
WUHAN UNIV OF SCI & TECH
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to solve two problems: a. measure the noise standard deviation accurately to the natural digital noise image; b. based on the first problem, carry out noise removal to the natural digital noise 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
  • Effective image noise detection and removal method and system
  • Effective image noise detection and removal method and system
  • Effective image noise detection and removal method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Please refer to the accompanying drawings for the following detailed description. The present invention, by way of principle and in conjunction with the drawings, explains specific details for implementing the invention, these implementations being described in sufficient detail to enable those skilled in the art to practice the invention. The various implementations are not necessarily mutually exclusive, as some implementations can be combined with one or more other implementations to form new implementations. Accordingly, the following detailed description should not be considered as limiting, and the scope of the invention is defined by the appended claims.

[0056] The present invention is divided into two parts: noise detection and noise removal; wherein the first part is the detection of noise intensity, which includes dividing the noise image into image blocks, special processing of the image blocks to make them meet the conditions, fusion into a target matrix, ...

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 an effective image noise detection and removal method and system. According to the method, first, the kurtosis-skewness checking principle is utilized to select samples meetingGaussian distribution from noisy images; second, a noise standard deviation is solved according to the PCA principle; and last, the measured noise standard deviation is utilized to perform brand-new non-local mean denoising on the noisy images. An experiment result indicates that compared with existing methods, the detection method has higher measurement precision, and the denoising effect is better than the effect of an existing classic algorithm. The effective image noise detection and removal method and system are suitable for natural digital images, including RGB images and grayscale images.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method and system for detecting and removing noise intensity (standard deviation) of natural images. technical background [0002] As an important carrier for human beings to obtain external information, digital images play an important role in human development. In the process of image acquisition, the image goes through a series of complicated processes from the shooting of the camera, and is particularly easy to be damaged by noise. Image denoising is an important field of image processing research. [0003] From the development history of the image processing field, many researchers at home and abroad have proposed many effective denoising methods in the field of image denoising. No matter whether it is denoising from the whole or from the part, it needs to have the known image noise intensity, that is, the noise standard deviation. But the real problem is that...

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
IPC IPC(8): G06K9/40G06K9/46G06K9/62
CPCG06V10/30G06V10/50G06F18/2135
Inventor 伍世虔吴家鑫
Owner WUHAN UNIV OF SCI & TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com