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

Image merging method based on maximum expectation value and discrete wavelet frame

A wavelet frame and image fusion technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of high-frequency information loss in fusion results, and the application of statistical models that cannot form images, so as to improve image fusion results and improve fusion Effect of performance and image quality improvement

Inactive Publication Date: 2005-01-26
SHANGHAI JIAO TONG UNIV
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the statistical properties in the multi-scale domain are approximately subject to the Gaussian mixture model. Since the signal in the high-frequency or passband part of the image is simulated as noise, it is easy to cause the loss of high-frequency information in the fusion result.
Therefore, this statistical model of image formation cannot be simply applied to the multi-scale domain

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 merging method based on maximum expectation value and discrete wavelet frame
  • Image merging method based on maximum expectation value and discrete wavelet frame
  • Image merging method based on maximum expectation value and discrete wavelet frame

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0020] In the embodiment of the present invention, the figure 2 (a) represents the infrared image and figure 2 The visible light image represented by (b), and for the case of interference by noise image 3 (a) represents the infrared image and image 3 The visible light image shown in (b) is fused, and the image fusion method based on the maximum expected value and the discrete wavelet frame is adopted according to figure 1 The process shown proceeds. The specific implementation details of each part are as follows:

[0021] 1 Use the wavelet framework to decompose the image to be fused at multiple scales

[0022] The discrete wavelet frame is a modification of the discrete wavelet transform. When performing discrete wavelet transform on an image, it is generally necessary to down-sample the output of the high-frequency ...

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

A kind of image blend method that based on the expected value maximum and discrete wavelet framework. At first, multi-dimensional separation of image that to be blended which adopted the wavelet framework, and get a series of high-frequency component and the lowest frequency component, then blend the high-frequency part of image by character abstraction method that based on visual feature. And blend the low-frequency part of image by method that based on expected value maximum. And get the final blended image by wavelet inverse transform of blended result of high-frequency part and low-frequency part. This invention improves the blended image quality largely.

Description

technical field [0001] The invention relates to an image fusion method based on the maximum expected value and discrete wavelet frame, which is an image fusion method combining multi-scale and statistical methods in the field of information fusion, and can be widely used in optical imaging, target monitoring, security inspection and other systems application. Background technique [0002] Image fusion technology is the fusion of visual information in multi-sensor information fusion. It uses different imaging methods of various imaging sensors to provide complementary information for different images, increase the amount of image information, reduce the amount of original image data, and improve adaptability to the environment. In order to obtain more reliable and accurate useful information for observation or further processing. Image fusion technology is an emerging technology that integrates sensors, signal processing, image processing and artificial intelligence. In rece...

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 敬忠良刘刚孙韶媛李振华
Owner SHANGHAI JIAO TONG 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