Method for image noise reduction based on transforming domain mathematics morphology

A mathematical morphology and image noise reduction technology, applied in the field of image noise reduction based on transform domain mathematical morphology, can solve the problems of failing to fully consider continuous edge information and restricting algorithm noise reduction performance

Inactive Publication Date: 2007-02-28
SHANGHAI UNIV
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these threshold denoising methods fail to fully consider the continuous e...

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 for image noise reduction based on transforming domain mathematics morphology
  • Method for image noise reduction based on transforming domain mathematics morphology
  • Method for image noise reduction based on transforming domain mathematics morphology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] A preferred embodiment of the present invention is described as follows in conjunction with accompanying drawing:

[0055] The present invention aims to provide an image combination noise reduction method, as shown in FIG. 1 . This method first performs multi-scale and multi-directional Contourlet sparse transformation on the input noisy image, and then uses mathematical morphological operators to process high-frequency coefficients in the Contourlet domain to remove noise with a small support domain and effectively retain continuous The edge information of the image in the support domain, and finally the noise-reduced image is obtained through Contourlet inverse transformation, so as to achieve the purpose of image noise reduction.

[0056] The specific steps are:

[0057] 1. Initialize settings. Let i=0, j=0, set the maximum translation amount N in the row direction and column direction 1 and N 2 . At the same time, set the number of LP decomposition layers K and...

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 an image noise-reduction method based on transformation domain mathematical morphology. Wherein, it comprises that processing Contourlet rare transformation on the input noise image with multi sizes and multi directions; then using mathematical morphology algorism to process the high-frequency factor at Contourlet domain, to remove the noise with less support domain, and effectively keep the image edge information with continuous support domain; at last, using Contourlet inverse transformation to obtain noise-reduction image, to reduce the noise of image. The invention has wide application.

Description

technical field [0001] The invention relates to an image noise reduction method based on transform domain mathematical morphology. The method utilizes mathematical morphology operators to process high-frequency coefficients in the Contourlet domain, removes noise with smaller support domains in the image, and effectively retains noises with continuous Image edge information in the support domain to improve image quality. It is widely used in military and non-military fields such as optical imaging, target detection, security monitoring and other systems. Background technique [0002] Usually, in the process of image acquisition and transmission, there will be different degrees of noise pollution, and the purpose of image noise reduction is to remove the noise while retaining the main feature information of the image, that is, the edge information in the image to the greatest extent. Improve the restored quality of images. At present, image noise reduction methods are mainl...

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): H04N5/21
Inventor 方勇刘盛鹏
Owner SHANGHAI 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