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

Image splicing and fusion method based on visual characteristics of human eyes

A technology of image splicing and fusion methods, which is applied in the fields of optimizing image fusion effects, improving image quality based on human eye characteristics, image processing and computer graphics, to achieve the effect of improving quality and improving quality

Inactive Publication Date: 2017-08-22
TIANJIN UNIV
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies of the prior art, the present invention aims to solve problems such as misalignment, edge breakage, and splicing gaps that occur during image fusion in common image stitching methods. The masking effect improves the quality of stitched images, reduces the image quality degradation caused by edge breaks, and obtains high-quality stitched fusion images that conform to vision

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 splicing and fusion method based on visual characteristics of human eyes
  • Image splicing and fusion method based on visual characteristics of human eyes
  • Image splicing and fusion method based on visual characteristics of human eyes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The essence of image splicing and fusion is to use the overlapping area of ​​two images as a reference to assemble the processed image pixels into one image. A common fusion method is to use one of the input stitched images as a benchmark, and fill in the other stitched image after operation. Therefore, the path for image splicing and fusion is the boundary of the reference image. When there is a certain deviation between the operation parameters and the actual situation and the edge of the graph intersects with the stitching path, edge dislocation or breakage will occur. If these misalignments occur in areas of high visual salience, they can seriously affect the quality of the image. At the same time, there are some texture areas with relatively high levels of confusion in the image (such as gravel, tree crowns, etc.), and when dislocation edges occur in this area, due to the masking characteristics of the human eye, these dislocation edges will not be perceived. The...

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 fields of image processing and computer graphics, and aims at improving the image splicing quality by utilizing the visual significance and a masking effect, reducing image quality decrease caused by edge fracture, and obtaining a high-quality splicing and fusion image that satisfies the visual sense. In an image splicing and fusion method based on visual characteristics of the human eyes, an overlapped area of two images after matching is processed, and the area is searched for a splicing path by 1) searching the overlapped area for an area with a visual masking characteristic; 2) calculating the pixel weights of a smooth area and a texture area; 3) calculating the visual significance of the overlapped area; 4) solving the splicing path; and 5) using the path to complete image splicing. The image splicing and fusion method is mainly applied to image processing occasions.

Description

technical field [0001] The invention relates to the fields of image processing and computer graphics and the field of improving image quality based on the characteristics of human eyes. In particular, it relates to the field of optimizing image fusion effects based on human visual characteristics when performing image matching and splicing. Specifically, it involves an image splicing and fusion method based on the visual characteristics of the human eye. Background technique [0002] Image stitching and fusion technology is widely used in automotive electronics, drones, military, remote sensing and other fields. This technology extracts, matches, and calculates the feature information of two or more images with overlapping areas to obtain stitching parameters, and then deforms the images according to the stitching parameters and fuses them into an image with a wide viewing angle. In practical applications, due to the limitations of the stitching algorithm, the shooting met...

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): G06T3/40G06T5/30G06T5/50G06T7/13G06K9/46
CPCG06T3/4038G06T5/30G06T5/50G06T2207/20221G06V10/462
Inventor 史再峰高阳庞科高静徐江涛刘铭赫
Owner TIANJIN 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