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

Method and system of image edge defuzzification

An image edge and sharpening technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as easy generation of chromatic aberration and affect image quality, and achieve the effect of good chromatic aberration, noise suppression, and chromatic aberration suppression.

Active Publication Date: 2012-07-11
方正国际软件(北京)有限公司 +1
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The main purpose of the present invention is to provide a method and system for sharpening image edges to solve the problems of affecting image quality and prone to chromatic aberration in existing methods for sharpening image edges

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 of image edge defuzzification
  • Method and system of image edge defuzzification
  • Method and system of image edge defuzzification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0039] figure 1 It is a flow chart of the main steps of the method for sharpening the edge of an image according to an embodiment of the present invention, such as figure 1 As shown, the method mainly includes the following steps:

[0040] Step S11: constructing a trilateral filter;

[0041] Step S13: Input the original image into the trilateral filter to obtain an output image with sharpened edges.

[0042] The above steps are further described below.

[0043] The filter in step S11 may be composed of geometric space filter, color space filter and gradient filter. The geometric space filter refers to a filter formed by calculating the geometric distance between a scanning point and each p...

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 method and a system of image edge defuzzification, which are used for solving the problem that the method of the image edge defuzzification in the prior art has influences on image quality and is apt to produce chromatic aberration. The method comprises constructing a three-side filter formed by a geometric space filter, a color space filter and a gradient filter; and enabling the original image to be input in the three-side filter to obtain edge defuzzification output images. By means of the technical scheme, the method and the system are favorable for obtaining of better image quality and restraining of the chromatic aberration.

Description

technical field [0001] The invention relates to a method and system for sharpening image edges. Background technique [0002] Image edge sharpening is a common image processing technique, and the most commonly used method is image sharpening, which is usually implemented by Gaussian sharpening. Gaussian sharpening is the reverse process of Gaussian blurring, which is to compare the original image with the image after Gaussian blurring to obtain an edge detail image, and then superimpose it with the original image to highlight the edge information of the image. The above process can be simplified into a Gaussian template to achieve. which is: [0003] -1, -4, -7, -4, -1 [0004] -4, -16, -26, -16, -4 [0005] -7, -26, 505, -26, -7 [0006] -4, -16, -26, -16, -4 [0007] -1, -4, -7, -4, -1 [0008] The image after the above template filtering highlights the edge information to a certain extent, making the image clearer. [0009] Although the Gaussian sharpening method ...

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
Inventor 王建华张宏志
Owner 方正国际软件(北京)有限公司
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