Neighborhood normalized gradient and neighborhood standard deviation-based multi-focus image fusion method

A technology of normalization and standard deviation, applied in the field of multi-focus image fusion system, can solve the problem of less research on low-frequency component fusion rules.

Active Publication Date: 2011-05-18
JIANGSU T Y ENVIRONMENTAL ENERGY +1
View PDF4 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, people's research on multi-focus image fusion methods based on wavelet transform mainly focuses on the selection of high-frequency component fusion rules, while the research on low-frequency component fusion rules is less

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
  • Neighborhood normalized gradient and neighborhood standard deviation-based multi-focus image fusion method
  • Neighborhood normalized gradient and neighborhood standard deviation-based multi-focus image fusion method
  • Neighborhood normalized gradient and neighborhood standard deviation-based multi-focus image fusion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0034] The hardware environment used for implementation is: AMD Athlon(tm) 2.60G computer, 2.0GB memory, 128M graphics card, and the running software environment is: Matlab7.0 and Windows XP. We have realized the method that the present invention proposes with Matlab software. The two grayscale images used in this experiment and the ideal image were taken from www.imagefusion.org.

[0035] The present invention is specifically implemented as follows:

[0036] 1. Preprocessing: First, the sequential similarity detection and matching method is used to perform image registration on two source images with different focuses; then, the grayscale adjustment of the image is carried out so that the grayscale range of the two images is in a consistent grayscale In the degree interval [0, 255], two preprocessed images A and B are obtained;

[0037] Let the grayscale inte...

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 neighborhood normalized gradient and neighborhood standard deviation-based multi-focus image fusion method. The method comprises the following steps of: firstly, performing multi-scale decomposition on images by using wavelet transform to acquire low-frequency and high-frequency information of the images under different resolutions and different directions; secondly, processing the images by adopting different fusion rules according to the respective characteristics of the low-frequency and high-frequency information, wherein a neighborhood normalized gradient-based fusion method is adopted for the low-frequency sub images to overcome the defect that the traditional low-frequency component fusion method neglects edge information, and a neighborhood standard deviation-based fusion method is adopted for the high-frequency sub images so as to furthest keep detailed information of the images; and finally, performing wavelet reconstruction to acquire a fused image. The method overcomes of edge distortion of the traditional fusion algorithm, obviously improves the quality and the definition of the fused image, and can be applied to various military or civil multi-focus image fusion systems.

Description

technical field [0001] The invention relates to a multi-focus image fusion method, which belongs to the field of information fusion and can be applied to various military or civilian multi-focus image fusion systems. Background technique [0002] Multi-focus image fusion means that multiple images formed due to different lens focus are processed to obtain a result image with clear target focus. At present, the commonly used multi-focus image fusion methods are mainly divided into two categories: transform domain and space domain. Commonly used image fusion methods based on transform domain mainly use Laplacian pyramid and wavelet transform. Because the detail information of different resolutions in the pyramidal decomposition structure are correlated with each other, the stability of the algorithm is poor. The sub-band data obtained by orthogonal wavelet transform fall into mutually orthogonal subspaces respectively, so the correlation of detail information of different re...

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): G06T5/50
Inventor 郭雷程塨赵天云姚希文路艳
Owner JIANGSU T Y ENVIRONMENTAL ENERGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap