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

Multi-source image fusion method based on synchronous orthogonal matching pursuit algorithm

A technology of orthogonal matching tracking and fusion method, which is applied in the field of image fusion to achieve good fusion effect and sparse signal representation.

Inactive Publication Date: 2009-09-23
HUNAN UNIV
View PDF0 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned technical problems existing in existing image fusion, the present invention provides a multi-source image fusion method based on synchronous orthogonal matching pursuit

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-source image fusion method based on synchronous orthogonal matching pursuit algorithm
  • Multi-source image fusion method based on synchronous orthogonal matching pursuit algorithm
  • Multi-source image fusion method based on synchronous orthogonal matching pursuit algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] see figure 1 , figure 1 It is a flowchart of the present invention. Let the J pieces of registered source images to be fused be respectively I 1 , I 2 ,...,I j , the specific steps are as follows:

[0018] 1. The source image is divided into blocks and vectorized

[0019] Convert all source images to be fused into a set of column vectors of a certain size to meet the needs of sparse representation calculations.

[0020] First, a square sliding window with a size of 8×8 is used, and the source images to be fused are overlapped and sampled pixel by pixel in the order from top to bottom and from left to right, and each source image is sampled into several 8× 8 image blocks. Then expand each image block into a column vector with a length of 64 in a column-first manner. Perform the above-mentioned process of dividing into blocks and vectorizing all J pieces of source images to be fused. In this way, at the i-th image block, J corresponding column vectors {p i j} ...

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 a multi-source image fusion method based on the synchronous orthogonal matching pursuit algorithm. The multi-source image fusion method comprises the following steps: sampling a source image pixel by pixel in an overlapping manner into image blocks of the same size by a sliding window of the fixed size and expanding each image block by columns into column vectors; obtaining the sparse representation coefficient corresponding to each vector on the over-complete dictionary by the synchronous orthogonal matching pursuit algorithm; fusing the corresponding coefficient by the maximum absolute value method; inverse-transforming the fused sparse representation coefficient into the fusion result vector of corresponding to the vectors according to the over-complete dictionary; and restoring all the fusion result vectors to image blocks and re-constructing to obtain the fused image. The invention fully considers the intrinsic characteristics of the image sparsity and the method using sparse representation can more effectively present the useful information of each source image and achieve better fusion effect, therefore, the invention is of great significance and practical value to the post-processing and image display of various application systems.

Description

technical field [0001] The method relates to an image fusion method, in particular to a multi-source image fusion method based on synchronous orthogonal matching pursuit. 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 the adaptability to the environment to obtain more reliable and accurate useful information for observation or further processing. It is an emerging technology that integrates sensors, signal processing, image processing and artificial intelligence. In recent years, image fusion has become a very important and useful image analysis and computer vision technology, and has broad application prospects in automatic target recognition, computer vision, remote sensing, roboti...

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
IPC IPC(8): G06T5/50
Inventor 李树涛杨斌
Owner HUNAN 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