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

Multi-focusing-image fusion method based on bilateral filter

A bilateral filter and multi-focus image technology, applied in the field of image processing, can solve the problems of low efficiency and achieve the effects of strong robustness, enhanced spatial consistency, and small time and space complexity

Active Publication Date: 2016-08-31
XIANGTAN UNIV
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But these algorithms need to iterate many times to find the global optimal solution, so the efficiency is very low

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
  • Multi-focusing-image fusion method based on bilateral filter
  • Multi-focusing-image fusion method based on bilateral filter
  • Multi-focusing-image fusion method based on bilateral filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] combine figure 1 , according to one aspect of the present invention, the specific implementation steps of the present invention are as follows:

[0029] Step 1. To the source image Perform single-scale image decomposition to obtain the base layer image and the intermediate image :

[0030] 1) Change the first source image Filtering through a Laplacian high-pass filter yields the first source image filtered image of :

[0031] ;

[0032] 2) By filtering the image The absolute value of is low-pass filtered to get the source image The basic layer of , as shown in the following formula:

[0033] ,

[0034] In the formula Represents the filter function of the low-pass filter, and the filter window size is ,and and Both are set to 5;

[0035] 3) Convert the source image to itself as a guide image for bilateral filtering, for the source image Perform bilateral filtering to obtain the middle layer image , No. The middle layer image of...

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 multi-focusing-image fusion method based on a bilateral filter. The method comprises the steps of firstly, decomposing a source image for obtaining a basic layer and an edge layer; then, introducing a bilateral filtering algorithm at a fusion strategy aspect for respectively determining fusion weights of the basic layer and the edge layer, thereby sufficiently utilizing spatial continuity between the basic layer and the edge layer; and finally adding the fused basic layer and the edge layer for obtaining a final fused image. The multi-focusing-image fusion method provided by the invention has advantages of reserving image information, realizing relatively high edge keeping effect, and obtaining a good subjective effect and a relatively good objective index.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to image fusion technology, in particular to a multi-focus image fusion method based on a bilateral filter. Background technique [0002] Image fusion is an important technique in computer vision applications such as image processing and feature extraction and object recognition. Through image fusion, two or more images of the same scene are synthesized into a new image. The fused new image can integrate the complementary advantages of each image and provide more comprehensive and reliable image information of the scene, which is beneficial to the scene and target. The identification and positioning of the machine is also conducive to machine perception. [0003] At present, there are many image fusion algorithms, which are mainly divided into image fusion based on spatial domain and image fusion based on transform domain. The method based on the spatial domain mainly perfor...

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): G06T5/50G06T5/00
CPCG06T5/50G06T5/00
Inventor 朱江刘蕴娴裴廷睿张瑞洲田淑娟印峰许海霞崔荣埈关屋大雄
Owner XIANGTAN 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