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

Image magnification method based on edge extraction

An edge extraction and image technology, applied in image analysis, image data processing, graphics and image conversion, etc., can solve the problems of low algorithm stability, complex method process, large amount of calculation, etc. High efficiency and simple process effect

Inactive Publication Date: 2015-04-29
ZHEJIANG UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The magnification effect of this type of algorithm is obviously improved, but the stability of the algorithm is generally not high, and it is often only suitable for one type of image, and the method process is complicated and the amount of calculation is large

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 magnification method based on edge extraction
  • Image magnification method based on edge extraction
  • Image magnification method based on edge extraction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Such as figure 1 As shown, the implementation steps of the image enlargement method based on edge extraction in this embodiment are as follows:

[0048] An image enlargement method based on edge extraction, the implementation steps are as follows:

[0049] (1) Perform Gaussian filter denoising preprocessing on the image to be enlarged to obtain the preprocessed image;

[0050] (2) In the preprocessed image, construct a pixel grid with each pixel point as the grid vertex, and find the intersection point between the pixel grid and the edge to be determined. The specific process is: (a) along the pixel grid horizontally and Each vertical side is searched separately, and several line segments whose pixel values ​​are continuously increasing or decreasing; (b) For each found line segment, obtain the maximum gradient G of the line segment m And the length L and the corresponding threshold (threshold is preset, the purpose is to avoid mistaking noise as an intersection point, ...

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 an image magnification method based on edge extraction. The image magnification method based on the edge extraction includes the following steps: carrying out pretreatment of Gaussian filter and noise reduction on an image needing to be magnified, constructing a pixel grid by using each pixel point as a vertex of the grid in the image after the pretreatment and looking up intersection points of the pixel grid and an edge needing to be determined; optimizing numbers and positions of the intersection points which are found; connecting optimized intersection points to form a coherent edge; looking up and marking pixel points with pixel values affected by the edge at two sides of the edge; subdividing the pixel grid evenly according to the multiple to which the image needs to be magnified; carrying out calculus of interpolation according to the information of the edge and the pixel points with the marks to obtain corresponding pixel points of each subdivided grid to achieve the magnification of the image. The image magnification method based on the edge extraction is capable of extracting complete and accurate edge information of an image, enabling a magnified image to keep original gradient change, high in efficiency and strong in expandability.

Description

technical field [0001] The invention relates to the technical fields of digital image processing and computer vision, in particular to an image enlargement method based on edge extraction. Background technique [0002] With the continuous promotion of digital applications, digital image information plays an increasingly important role in social production and life. There is an increasing demand for high-quality images in the fields of visualization technology research, medical treatment, aerospace, and digital entertainment. With the diversification of image display devices and the continuous increase in size, the demand for high-resolution images has become more urgent. However, the current high-resolution digital image acquisition equipment and network transmission support are still far behind the demand. Therefore, the method of enlarging low-resolution images has become more and more important, and has always been a research hotspot in the field of computer vision. [...

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 Patents(China)
IPC IPC(8): G06T7/00G06T3/40
Inventor 冯结青谢富续
Owner ZHEJIANG 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