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

Image de-noising method and equipment

An image and image sub-block technology, applied in the field of communication, can solve the problems of poor texture information processing effect and affect the quality of image denoising, and achieve the effect of improving visual quality and improving PSNR value.

Inactive Publication Date: 2011-08-17
DATANG MOBILE COMM EQUIP CO LTD
View PDF0 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] Embodiments of the present invention provide an image denoising method and device, which solve the problem that the traditional wavelet threshold denoising has poor texture information processing effects in directions other than the vertical and horizontal directions, which affects the quality of image denoising

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 de-noising method and equipment
  • Image de-noising method and equipment
  • Image de-noising method and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] As described in the background art, the traditional wavelet threshold denoising effect is good for smooth image denoising, but the denoising effect for images rich in texture information or texture regions of images is not satisfactory. This is because the traditional wavelet transform cannot realize the sparse representation of the texture image, and a large amount of texture information in the image is transformed into high-frequency sub-bands, which are easily mistaken for noise and removed during threshold denoising, resulting in the loss of information about the image itself. lost.

[0033] In order to overcome such defects, the technical solution proposed by the embodiment of the present invention judges the texture direction of the image through image interpolation, and then performs wavelet transformation along the determined direction. This direction-adaptive wavelet transform can transform the texture information of the image To the low frequency region, the t...

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 embodiment of the invention discloses an image de-noising method and image de-noising equipment. According to the technical scheme of the embodiment, the image texture direction is judged by image interpolation, wavelet transform is performed along the judged direction, and the direction adaptive wavelet transform can transform the texture information of an image to a low-frequency area and protect the textures of the image from being lost in threshold value de-noising, so that the texture information of other directions except the vertical direction and the horizontal direction is processed, and compared with traditional wavelet threshold value de-noising, the visual quality and the peak signal-to-noise ratio (PSNR) value of the de-noised image with rich textures are improved obviously.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an image denoising method and device. Background technique [0002] As a carrier of information, digital images play an important role in multimedia communication services. However, digital images will inevitably be polluted by noise during the process of collection, encoding, transmission, and restoration, which weakens the perception of human eyes on images to a certain extent. Therefore, how to effectively remove image noise is an important research topic, and the problem of image denoising with rich texture is a major difficulty in this topic. [0003] Among the existing solutions, the wavelet threshold image denoising scheme is a relatively common processing method. [0004] In the wavelet transform domain of noisy images, most of the image signal energy is concentrated in the wavelet coefficients with larger absolute values, while the noise energy is mainly ...

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 李重戬赵荣
Owner DATANG MOBILE COMM EQUIP CO LTD
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