Real-time monitoring video adaptive filtering method and real-time monitoring video adaptive filtering system

A technology of adaptive filtering and real-time monitoring, which is used in the components of TV systems, TVs, color TVs, etc.

Active Publication Date: 2015-07-01
SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a real-time monitoring video adaptive filtering method and its system that can overcome the influence of complex interference such as Gaussian and impulse noise

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
  • Real-time monitoring video adaptive filtering method and real-time monitoring video adaptive filtering system
  • Real-time monitoring video adaptive filtering method and real-time monitoring video adaptive filtering system
  • Real-time monitoring video adaptive filtering method and real-time monitoring video adaptive filtering system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] Any feature disclosed in this specification (including any appended claims, abstract and drawings), unless expressly stated otherwise, may be replaced by alternative features which are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0029] Such as figure 1 Shown, a kind of real-time monitoring video self-adaptive filtering method, concrete method is: one, carry out block matching to current video image f (x, y), construct the three-dimensional data group of each similar block...

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 a real-time monitoring video adaptive filtering method and a real-time monitoring video adaptive filtering system. The real-time monitoring video adaptive filtering method comprises the following steps of performing block matching on a current video image f (x, y); constructing three-dimensional data groups of various similar blocks; performing wavelet transformation on the three-dimensional data groups; and respectively performing adaptive de-noising processing on a high-frequency coefficient and a low-frequency coefficient by using a soft and hard threshold value on the basis of noise variance iteration to obtain a de-noised image f1 (x, y). Video signals are recovered and processed, and influences of complex interference such as gauss and pulse noises are overcome; and marginal information of video images can be maintained, and the de-noising effect is high.

Description

technical field [0001] The invention relates to a real-time monitoring video self-adaptive filtering method and system thereof, in particular to a real-time monitoring video self-adaptive filtering method and system applicable to the field of video monitoring due to noise introduction. Background technique [0002] Video surveillance is now widely used in transportation, criminal investigation, banking, community property management, industrial production monitoring and other fields. The video processing system uses image processing technology to process each frame of the video stream to overcome image degradation and blurring caused by noise during image acquisition. [0003] The images collected by the monitoring system are easily affected by various factors, especially the noise introduced during the collection process, which seriously degrades the quality of the image, and even the target is blurred and difficult to identify. This situation has seriously affected the no...

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): H04N5/21
Inventor 刘伟军孙兴波
Owner SICHUAN UNIVERSITY OF SCIENCE AND ENGINEERING
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