A real-time image fusion method and device

An image fusion and image technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve the problems of poor robustness of fusion, unstable fusion effect, etc., and achieve the effect of great practical value

Active Publication Date: 2017-01-18
NANJING 55TH INSTION TECH DEV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the algorithm needs to accurately know the exposure time of the image to be fused, it will lead to unstable fusion effect in some occasions, and the robustness of fusion is poor.

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
  • A real-time image fusion method and device
  • A real-time image fusion method and device
  • A real-time image fusion method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] In order to better understand the implementation process of the present invention, the specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings and implementation examples.

[0048] figure 1 It is an overall flow chart of the present invention, from which it can be seen that the present invention has 4 main implementation steps, namely image preprocessing, weight map calculation, threshold value determination and fusion processing, and the specific implementation methods of each part are as follows: 1. Image data A 1 and A 2 preprocessing

[0049] The input color mode is RGB image to be fused image A 1 and A 2 , the three components of R, G, and B are processed separately. If A 1 and A 2 Both are 8-bit images, then the highest gray level is 2 8 -1=255, the image A 1 and A 2 Divide them all by 255 to get the normalized image I 1 and I 2 . If it is an RGB image higher than 8 bits, it can be p...

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 real-time image infusion method and a corresponding real-time image infusion device. The method includes the following steps that first, data A1 and A2 of registered images to be fused are input; second, the A1 and the A2 are preprocessed through normalization to obtain I1 and I2; third, a weight plot w1 and a weight plot w2 are solved when the I1 and the I2 are fused; fourth, the threshold vale T1 and the threshold value T2 are calculated when the I1 and the I2 are infused in a segmented mode; fifth, the I1 segment and the I2 segment are infused according to the obtained threshold value T1 and the obtained threshold value T2 in segmented fusion; sixth, the infusion result is output. With the technology, the quality of the fused image can be fast improved, and meanwhile the real time requirement in engineering application can be met.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a real-time image fusion algorithm, which is applied to embedded engineering products meeting real-time requirements. Background technique [0002] Image fusion technology is to extract the image information of the same scene under different exposure values ​​through a single sensor, and fuse it into an image with high dynamic range information to increase the adaptability of the image to different environments. With the continuous development of the national economy, this technology has a wide range of application values ​​in security, machine vision, medicine, military remote sensing and other fields. [0003] The existing image fusion technologies mainly include fusion algorithms based on direct weighted average, fusion algorithms based on Principal Component Analysis (PCA), fusion algorithms based on image pyramid decomposition, fusion methods based on camera response ...

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 Patents(China)
IPC IPC(8): G06T5/50G06T3/40
Inventor 吴松野宋文
Owner NANJING 55TH INSTION TECH DEV
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