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

Multi-exposure image fusion method for removing ghosting in dynamic scene

A dynamic scene and image fusion technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as unsatisfactory fusion effect

Pending Publication Date: 2021-05-11
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing deghosting fusion technologies all use complex algorithms, and the final fusion effect is not ideal, and there are still defects

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-exposure image fusion method for removing ghosting in dynamic scene
  • Multi-exposure image fusion method for removing ghosting in dynamic scene
  • Multi-exposure image fusion method for removing ghosting in dynamic scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] see figure 1 , which is a flowchart of a multi-exposure image fusion method for deghosting a dynamic scene according to an embodiment of the present invention.

[0080] There are two main problems in the existing ghost elimination in multi-exposure fusion of dynamic scenes: first, when the camera shakes during the shooting process, multiple input images will be misaligned, causing the generated HDR image to appear blurred due to ghosting . This problem can be addressed by preprocessing with various image registration or alignment methods. Second, when there is an obviously moving object in the captured scene, the displacement of the object occurs between the dynamic scene exposure images. No matter the HDR image is synthesized and then further tone-mapped for display, or the multi-exposure fusion is performed directly, there will be obvious ghosting traces in the generated image. In this regard, the present application researches a method for fusion of multi-exposure...

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-exposure image fusion method for removing ghosting in a dynamic scene. The method comprises the following steps: firstly, selecting a proper exposure image in an exposure sequence as a reference image, then calculating a relative exposure weight based on gradient direction information of pixels, removing abnormal dynamic pixels and ghost pixels through dynamic pixel correction, and finally, performing fusing by using a six-layer image Laplacian pyramid to obtain a ghosting-free fused image. According to the method, the dynamic fusion requirements under various conditions can be effectively met, and the ghosting trouble possibly caused by a moving object in the exposure fusion process is avoided, so that the efficient multiple exposure fusion in a dynamic scene is achieved.

Description

technical field [0001] The invention relates to technical fields such as image fusion technology, multi-exposure fusion technology, and dynamic scene image processing, and in particular to a multi-exposure image fusion method for dynamic scene ghosting. Background technique [0002] In recent years, UAV outdoor line inspection and defect detection need to be carried out based on the images taken by UAV. Therefore, it is very important to recover as many details as possible from the images taken by UAV for the results of intelligent inspection and detection. Since the UAV works in the outdoor natural environment, the dynamic range of the outdoor real natural scene can span about nine orders of magnitude. Therefore, under a certain exposure setting, a single low dynamic range image taken by an ordinary digital camera cannot show the full dynamic range of a natural scene, and details in low-brightness or high-brightness areas will be lost in scenes with strong brightness change...

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): G06T5/50G06T5/00G06T5/20G06T7/11G06T7/136
CPCG06T5/50G06T5/20G06T7/11G06T7/136G06T2207/20221G06T5/70
Inventor 罗林欢梁国开熊国锟邓国豪刘剑白徐欢陈小倩
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID 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