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

A method and device for adaptively denoising video images

A video image and adaptive technology, applied in the field of video image processing and video communication, can solve the problems of poor denoising effect and large amount of calculation, and achieve the effect of avoiding smear and ensuring edge details.

Inactive Publication Date: 2011-12-14
ZTE CORP
View PDF5 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention provides a method and device for self-adaptive denoising of video images to solve the defects in the prior art that the denoising algorithm has a large amount of calculation and the denoising effect is not good

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
  • A method and device for adaptively denoising video images
  • A method and device for adaptively denoising video images
  • A method and device for adaptively denoising video images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] The basic concept of the present invention is: read in a frame of video image from buffer zone, calculate respectively the motion vector and the difference between each pixel point in the frame image and the pixel point at the same position as the pixel point in the adjacent frame. Edge detection is performed on each pixel in the frame image; the calculation result of the motion vector of each pixel and the edge detection result are used to select the corresponding intensity filtering method for each pixel, and then the Gaussian similarity filter is used to filter each pixel Filter accordingly.

[0066] like figure 1 Shown, the present invention mainly comprises the following steps:

[0067] S1, read a frame of video image from the buffer;

[0068] S2. Select an unfiltered pixel from the image frame,

[0069] S3. Calculate the motion vector between the pixel point and the pixel point in the same position as the pixel point in the adjacent frame, and perform edge dete...

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 a method and device for performing adaptive denoising on a video image. The device comprises a video image reading module, an edge detection module, a filtering mode selection module and a filtering module; the method comprises the following steps of: reading in a frame of video image from a buffer zone, respectively calculating motion vectors between each pixel in the frame of image and the pixel at the same location in a neighboring frame, and respectively executing the edge detection on each pixel in the frame of image; respectively selecting the filtering mode having corresponding intensity for each pixel according to the edge detection result and the calculation result of the motion vector and of each pixel, and then, correspondingly filtering each pixel by a Gaussian similarity filter. The method and the device have obvious denoising effect on various noises of different scene sequences, and can effectively remove noises by combination of a time domain and a space domain.

Description

technical field [0001] The invention relates to video image processing and video communication technology, in particular to a method and device for adaptively denoising video images. Background technique [0002] The acquisition, compression coding, transmission, decoding, and display of video images are the main functions of video application systems, and various noises will inevitably be introduced in these processes. Noisy video images will not only directly affect the subjective quality of images, but also affect various subsequent processing tasks of video images, such as: storage, codec, transmission, target recognition and tracking, etc. [0003] The video sequence should not only pay attention to the visual effect of each frame of image, but also pay attention to the visual experience of the whole sequence. Due to the inherent reasons of electronic products, noise is inevitable, and noise will affect the visual effect. Therefore, in order to improve people's visual ...

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): H04N5/21H04N5/14
Inventor 李凤山沈琳张伟
Owner ZTE CORP
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