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

Method and system for restoring damaged image

An image and damaged technology, applied in the field of image repair, can solve the problem of long repair time and achieve good repair effect

Inactive Publication Date: 2015-12-02
广西小草信息产业有限责任公司
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of texture synthesis: it can remove large stains in the image well, but since the running time of the algorithm is not proportional to the mask area, but proportional to the image size, the repair time is relatively long

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
  • Method and system for restoring damaged image
  • Method and system for restoring damaged image
  • Method and system for restoring damaged image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0053] like figure 1 As shown, a method for repairing a damaged image includes the following steps:

[0054] Step 1, input a damaged image;

[0055] Step 2, using a Gaussian filtering method to remove background noise in the damaged image;

[0056] Step 3, using the threshold segmentation method to binarize the enhanced image;

[0057] Step 4, using the edge detection method to obtain the outline of the damaged image, and looking for an area in the undamaged area that is the same size and shape as the damaged area as the area to be matched;

[0058] The step 4 is specifically:

[0059] Step 4.1, obtaining the outline of the damaged image, selecting a pixel on the outline, and establishing a repair window with th...

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 a method and a system for restoring a damaged image. The method includes following steps: inputting a damaged image; removing background noises by employing a Gaussian filtering method; performing binarization processing of the enhanced image by employing a threshold segmentation method; obtaining the contour of the damaged image by employing an edge detection method, searching an area whose size and shape are the same with the size and the shape of a damaged area in a non-damaged area, and regarding the area as a to-be-matched area; duplicating the pixel value of the to-be-matched area to the damaged area; and performing enhancement processing of the restored image by respectively employing top-hat transform and bottom-hat transform, performing smooth processing of the enhanced image by employing a bilateral filtering method, and accomplishing the restoration. According to the method and the system, the restoration effect is good.

Description

technical field [0001] The invention relates to the field of image repair, in particular to a method and system for repairing damaged images. Background technique [0002] Image restoration refers to the restoration and reconstruction of damaged images or the removal of redundant objects in images. At present, image restoration methods include the following: Partial differential equation method: In this method, the user needs to specify the area to be repaired, and the algorithm diffuses the information outside the contour line of the boundary of the area to be repaired to the middle area to be repaired along the contour normal direction. on the pixel. The algorithm uses the smoothness of the local color to diffuse along the contour line, and considers the anisotropic diffusion to ensure the continuous boundary at the edge, but the calculation of this method is unstable. Overall variational method and curvature-based diffusion model: it uses the Euler-Lagrange equation and...

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): G06T5/00
Inventor 温九江袁松平
Owner 广西小草信息产业有限责任公司
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