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

A method and system for image fusion

An image fusion and image technology, which is applied in the field of image processing, can solve the problems of few image texture details, high resource occupation, complex implementation, etc., and achieve the effects of saving computing time, multi-texture details, and improving performance

Active Publication Date: 2022-05-17
HANGZHOU TUYA INFORMATION TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing technology mainly aims at how to obtain better weights, and proposes different solutions. The easy-to-implement method has a general effect, or the image texture details are not preserved, or the noise is heavy; while the effective method realizes More complex and resource-intensive

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 method and system for image fusion
  • A method and system for image fusion
  • A method and system for image fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0035] In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, therefore, the protection scope of the present invention is not limited to the specific details disclosed below. EXAMPLE LIMITATIONS.

[0036] Refer below Figure 1 to Figure 4 The image fusion method and system according to some embodiments of the present invention are described.

[0037] like figure 1 As shown, the image fusion metho...

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 an image fusion method, comprising the following steps: acquiring multiple images with different exposure degrees; converting each image into a YUV color space, and extracting a Y component; calculating each image according to the Y component quantify and evaluate the edge features to obtain initial fusion weights; generate a grayscale co-occurrence matrix according to the Y component of each of the images, and calculate the value of each Y component in the grayscale co-occurrence matrix probability density function; the saliency factor of each image is calculated according to the probability density function; the initial fusion weight is optimized according to the salience factor to obtain the optimal fusion weight; according to the optimal fusion weight The fusion weight fuses a plurality of the images to obtain a target image. In the technical solution of the present invention, the saliency factor is used to optimize the initial fusion weight, so that the image can retain more texture details and control the noise better.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image fusion method based on a wide dynamic algorithm and an image fusion system. Background technique [0002] The current WDR algorithm is mainly divided into two directions, one is the intra-frame WDR of a single image, and the other is the WDR using image fusion. The intra-frame WDR algorithm mainly uses methods such as contrast enhancement or histogram stretching to achieve WDR. This method is simple and easy to implement, but the effect is poor, and contrast enhancement may introduce other problems such as noise; while image fusion Effective information areas in different exposure images can be extracted to obtain wide dynamic images, and the actual effect will be better. [0003] The multi-exposure image fusion algorithm uses multiple images with different exposures to fuse their respective effective information to obtain a normal exposure image. The key to t...

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): G06T5/50G06T7/13
CPCG06T5/50G06T7/13G06T2207/20221G06T2207/20076G06T2207/20024
Inventor 廉政
Owner HANGZHOU TUYA INFORMATION TECH CO LTD
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