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

Image weighted filtering method

A weighted filtering and image technology, applied in image communication, color TV parts, TV system parts and other directions, can solve the problems of maintaining image edges and details, large error in results, difficult, etc., to achieve a wide range of applications. , remove image noise, improve image quality effects

Inactive Publication Date: 2011-07-06
SICHUAN CHANGHONG ELECTRIC CO LTD
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method of judging the attributes of pixels tends to cause large errors in the results. At the same time, many current denoising filtering methods also have a defect, that is, it is difficult to maintain the image edge at the same time when obtaining a better smoothing filtering effect. and details

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 weighted filtering method
  • Image weighted filtering method
  • Image weighted filtering method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] figure 1 The middle table shows an undirected filter template and 8 orientation angle directional filter templates, and image filtering is performed on the basis of these filter templates.

[0019] like figure 2 As shown, set the threshold V of the noise point and the weight coefficient k ab Wherein a=0~8 integer, b=0~4 integer, can pass I 2 C communication structure modify the set threshold V and the weight coefficient k ab . The input video image signal is converted into the chromaticity space of the video color difference signal in YUV or YCbCr mode, and the luminance component Y of the pixel f(x, y) to be processed is separated.

[0020] Determine the attribute of the image pixel point f(x, y), that is: which one of the image, background or noise does the pixel point f(x, y) belong to, and use different filter templates for calculation processing for pixels with different attributes . The way to judge and deal with it is:

[0021] 1) Calculate the value of 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 invention discloses an image weighted filtering method relating to the processing of digital video images. The image weighted filtering method includes the following steps: setting the threshold value and the weighting coefficient of a noise point; separating a luminance component out of an image signal; judging the property of a pixel point to be processed; and processing the pixel point by an undirected filtering module and / or a directed filtering module according to the property of the pixel point. The image weighting-filtering method can maintain clear edges and details of an image simultaneously when eliminating image noise, thereby greatly improving the picture quality effect of image processing. The image weighted filtering method realizes the processing of both video images and static images, thus having a very broad applicable range.

Description

technical field [0001] The invention relates to the processing of digital video images, in particular to an image weighted filtering method. Background technique [0002] Image filtering is a key step in eliminating noise in the field of video image processing. Image filtering is to suppress the noise of the target image under the condition of retaining the details of the image as much as possible. It is an indispensable operation in image preprocessing. The quality of its processing effect will directly affect the effectiveness and reliability of subsequent image processing and analysis. sex. In image processing, the attributes of pixels include: noise, image and background. Noise often appears as an isolated pixel point or pixel block that causes a strong visual effect on the image. Generally, the noise signal is irrelevant to the object to be studied, and it appears in the form of useless information, disturbing the observable information of the image. For digital ima...

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): H04N5/213H04N9/77
Inventor 吴达军
Owner SICHUAN CHANGHONG ELECTRIC 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