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

High-precision restoration method of fuzzy image based on vision prior information

A blurred image and visual prior technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of not using continuous frame image relationship calculation, and achieve the effect of improving the motion blur and deblurring effect of sequence images.

Inactive Publication Date: 2019-01-25
DALIAN UNIV OF TECH
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can accurately estimate the blur kernel of the blurred image, but this method does not use the relationship calculation of continuous frame images, so it is not suitable for the blur restoration of sequence images

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
  • High-precision restoration method of fuzzy image based on vision prior information
  • High-precision restoration method of fuzzy image based on vision prior information
  • High-precision restoration method of fuzzy image based on vision prior information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The specific implementation of the method of the present invention will be described in detail below in conjunction with the technical scheme and accompanying drawings.

[0031] The measurement target that the present invention adopts is the lithography glass plate that the upper surface photoengraves with 7*7 circular mark points, it is fixedly connected on the machine tool workbench together with the backlight through custom-made fixture during measurement, and the control machine tool is respectively separated by 3m The feed speeds of / min and 5m / min run according to the set trajectory. At the same time, a calibrated binocular camera is used to collect sequential images. The experimental frame rate is 25fps, and the camera exposure time is set to 20ms. The captured blurred image uses the inter-frame relationship and the prior information of the previous frame image to obtain the blur direction and blur scale of the next frame image, obtain an accurate blur kernel, and 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 belongs to the technical field of computer vision measurement, and relates to a high-precision restoration method of fuzzy image based on vision prior information and system reference quantity. According to the exposure time of binocular vision measurement system, The accurate prior information of frame rate is used to obtain the changing direction of the same center position in image coordinate system and the moving distance in exposure time, that is, the blur direction and the blur scale, so as to obtain the accurate blur kernel of each image by using the relationship between two adjacent frames in the image sequence. Then the non-blind image restoration algorithm is used to deconvolution and get the clear restoration image, which realizes the high-speed image deblurring and restoration in the machine tool dynamic detection, and improves the measurement accuracy of the vision measurement system. The method can effectively improve the motion blurring problem of serial images, and the deblurring effect is obvious, which meets the requirements of precise extraction of machine tool positioning information in high-speed motion state.

Description

technical field [0001] The invention belongs to the technical field of computer vision measurement, and relates to a method for restoring fuzzy images with high precision based on visual prior information and system reference quantities. Background technique [0002] During the operation of high-precision CNC machine tools, due to the lag of the servo system, dynamic contour errors will occur, which directly affects the working performance of the processed parts. Accurate measurement of errors can provide a numerical basis for the compensation of machining accuracy of CNC machine tools, and is an effective means to improve the machining accuracy of CNC machine tools. The visual measurement system has the advantages of non-contact, convenient and fast, and can realize arbitrary trajectory measurement, etc., and is gradually applied to the dynamic contour error measurement of machine tools. However, when the feed speed of the machine tool is too fast, the relative motion betw...

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
CPCG06T2207/10012G06T5/73
Inventor 刘巍潘翼李肖马建伟贾振元王福吉
Owner DALIAN UNIV OF TECH
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