Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Image fusion method based on compressed sensing and WBCT

An image fusion and compressed sensing technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of not being able to represent image anisotropy well, and not being able to represent image direction information more accurately

Inactive Publication Date: 2015-06-24
TIANJIN UNIV
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the traditional wavelet transform is used to represent an image, it only has limited directions, namely horizontal, vertical and diagonal directions, and cannot more accurately represent the direction information in the image; and the wavelet can only represent the point singularity of the signal, and cannot Good representation of image anisotropy

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 fusion method based on compressed sensing and WBCT
  • Image fusion method based on compressed sensing and WBCT
  • Image fusion method based on compressed sensing and WBCT

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Aiming at the limitations of wavelet transform, in order to more effectively represent and process high-dimensional spatial data such as images, the present invention adopts wavelet-based Contourlet (non-adaptive directional multi-scale analysis method) transform (WBCT). The implementation process of WBCT also adopts two-level decomposition. First, WBCT uses wavelet transform to realize multi-scale decomposition, which effectively avoids the data redundancy introduced by Laplacian filter. High frequency sub-bands are directional decomposed. In the wavelet decomposition stage, WBCT uses a separable filter, and in the DFB (Directional Filter Banks) stage, a non-separable iterative tree-like directional filter bank composed of fan filters is used. The WBCT two-layer transformation is A non-redundant transform, so WBCT is a non-redundant transform.

[0028] The core and purpose of the present invention is to effectively fuse two images based on the compressed sensing frame...

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 the field of digital image processing, and provides a method capable of effective showing and processing images and other higher spatial data based on compressed sensing and WBCT. The method comprises the following steps that firstly, small-wave based Contourlet transformation is carried out on a to-be-fused image; secondly, a measurement matrix is formed, and measuring is carried out on LH, HL and HH high frequency sub-bands; thirdly, pixel point leveled evaluating is carried out on low frequency components of two source images by the rule adopting the Weighted Average (WA); fourthly, fusion is carried out on measured high frequency components of the two source images by using the principal component analysis; fifthly, reconstitution calculation is carried out on the fused high frequency components by using StOMP; sixthly, inverse transformation is carried out by using WBCT. The method is mainly applied to digital image processing.

Description

technical field [0001] The invention relates to the field of digital image processing and the field of image fusion algorithms. Specifically, it involves image fusion methods based on compressed sensing and WBCT transform Background technique [0002] Image fusion makes up for the limitations and differences of image data acquired by a single information source through the fusion of different image information, and comprehensively utilizes the complementary and redundant information between different images to obtain a more comprehensive and accurate image description of the scene. The image quality has been greatly improved. Image fusion based on wavelet transform is a widely used image fusion method at present. Wavelet transform has good multi-scale and time-frequency local characteristics. However, when the traditional wavelet transform is used to represent an image, it only has limited directions, namely horizontal, vertical and diagonal directions, and cannot more ac...

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 罗韬史再峰
Owner TIANJIN UNIV
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
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