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

Image restoration method

An image recovery and image technology, applied in the field of image processing, can solve problems such as insufficient neighborhood information mining, and achieve the effects of improving computing speed, improving robustness, and improving protection

Inactive Publication Date: 2018-08-17
MINNAN NORMAL UNIV
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention aims to provide an image restoration method, which applies a new deblurring model to natural image deblurring. Variation is to solve the problem of insufficient neighborhood information mining

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 restoration method
  • Image restoration method
  • Image restoration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057]To further illustrate the various embodiments, the present invention is provided with accompanying drawings. These drawings are a part of the disclosure of the present invention, which are mainly used to illustrate the embodiments, and can be combined with related descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those skilled in the art should understand other possible implementations and advantages of the present invention. Components in the figures are not drawn to scale, and similar component symbols are generally used to denote similar components.

[0058] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments.

[0059] The embodiment of the present invention provides an image restoration method, such as figure 1 As shown, it is a schematic flow chart of the image restoration method described in Embodiment 1 of the present inven...

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 relates to an image restoration method, and particularly relates to an image restoration method based on fractional order overlapping combination sparse total variation. The objective function of the fractional order overlapping combination sparse total variation regularization deblurring problem is obtained through combination of the conventional model and the fractional order totalvariation so as to obtain the augmented Lagrangian objective function, and solving the augmented Lagrangian objective function is converted into three sub-problems to solve. The transverse and longitudinal difference matrix operation is modeled as convolution operation for enhancing the operation speed of image restoration. Two-dimensional fast Fourier transform is ingeniously applied to the problem of image restoration through combination of the periodic boundary condition, and the dot product operation in the frequency domain is utilized to replace the large matrix operation in the space domain so as to enhance the operation efficiency. The robustness against noise, the difference between the smooth are and the edge area and protection of the image edge can be enhanced on the basis of fully considering all the local and non-local characteristics of the image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image restoration method. Background technique [0002] Digital image processing has a wide range of applications in biomedicine, aerospace, machine vision and many other fields. Due to the limitations of imaging equipment and the influence of unfavorable factors in the image transmission process, the images we get often suffer from varying degrees of degradation, such as image blur, image noise, and partial information loss in the image. This has adverse effects on later image processing, such as image detection, image segmentation, image matching, etc. How to weaken or remove the impact of degrading factors on image quality, so as to meet the needs of practical applications, has become a problem of great concern to people. [0003] Image restoration is a technique to restore and reconstruct a clear image by using the obtained degraded image and some prior information, so as...

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): G06T5/00G06F17/14
CPCG06F17/142G06T5/73
Inventor 林凡陈育群陈颖频
Owner MINNAN NORMAL UNIV
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