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

Single-scale motion blurred image frame restoration method for cab environment

A technology of motion blurred images and blurred images, applied in the field of image processing, can solve the problems of time-consuming image restoration process and inapplicability to blurred scenes.

Pending Publication Date: 2021-03-12
CHONGQING UNIV OF POSTS & TELECOMM
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Even though the multi-scale coarse-to-fine blur kernel estimation method is widely used and achieves good results, and richer image details can be obtained in image restoration, the calculation amount of the multi-scale iterative process tends to gradually increase with the number of iterations, resulting in the overall The image restoration process takes too much time, so it is not suitable for fast deblurring scenes

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
  • Single-scale motion blurred image frame restoration method for cab environment
  • Single-scale motion blurred image frame restoration method for cab environment
  • Single-scale motion blurred image frame restoration method for cab environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0056] Such as figure 1 As shown, a single-scale motion blurred image frame restoration method for the cab environment, including but not limited to the following steps:

[0057] S1. Obtain the motion blurred image frames B1 and B2, enhance and extract the effective edge of the motion blurred image frame, and obtain the effective edge ▽I of the motion blurred image frame B1 s . The motion blurred image frames B1 and B2 are continuous double-frame blurred ima...

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 technical field of image processing, in particular to a single-scale motion blurred image frame restoration method for a cab environment, which comprises the following steps: carrying out iterative training on a restoration model to obtain a trained restoration model; and inputting the motion blurred image frame and the optimal blurred kernel into a trained recovery model, recovering the motion blurred image by the recovery model, and outputting the recovered image. Compared with a multi-scale method, the method has the advantages that the overall structure of theblurred image can be better recovered, the running time can be obviously shortened, and the image frame recovery efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a single-scale motion blurred image frame restoration method for the driver's cab environment. Background technique [0002] In recent years, as the research on computer vision theory has become more and more mature, it has become possible for machines to recognize human behavior. Car cockpit behavior recognition is a good early warning method for distracted driving and abnormal events, because the cockpit environment is more fixed than other human body recognition scenarios. However, the driving environment of the car often has the problem of motion blur in the monitoring image frame due to rough roads and acceleration and deceleration problems. The blurred image frame will affect the judgment of subjective vision and machine vision. Among them, the problem of motion blur is caused by the relative displacement between the imaging device and the subject at the moment of...

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): G06T5/00
CPCG06T2207/10016G06T2207/20024G06T2207/20192G06T5/73G06T5/70
Inventor 程克非孙妍
Owner CHONGQING UNIV OF POSTS & TELECOMM
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