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

Image acquiring method for removing image blurring and image acquiring system

An image acquisition and image technology, used in image enhancement, image data processing, instruments, etc., can solve the problems of no image blur, prone to camera shake, and blurred captured images.

Active Publication Date: 2012-05-02
TSINGHUA UNIV
View PDF5 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If there is no professional photography auxiliary equipment such as a tripod, camera shake is prone to occur, resulting in blurred images
[0005] Depth cameras can provide reliable 3D geometric information of the scene in poorly lit shooting scenes, thereby providing the necessary depth information for using depth-dependent image deblurring methods, but there is currently no image deblurring technology based on the above-mentioned technologies

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 acquiring method for removing image blurring and image acquiring system
  • Image acquiring method for removing image blurring and image acquiring system
  • Image acquiring method for removing image blurring and image acquiring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] figure 1 It is a flowchart of an image acquisition method for removing image blur according to Embodiment 1 of the present invention.

[0030] Step S110, acquiring the depth image information of the scene collected by the depth camera and the color image information collected by the color camera.

[0031] In this embodiment, it is preferable to use a camera model of Mesa Imaging SR 4000 as a depth camera, and a camera of a model Point Gray FL280S2C ​​as a color camera to form a hybrid camera acquisition system to simultaneously acquire depth image information and RGB color image information of the scene , where the depth image information is the information representing the three-dimensional geometric structure of the scene.

[0032] Further, the depth camera and the color camera are fixed on the base in parallel, and the two cameras are arranged as close as possible, so that the images collected by the two cameras are as similar as possible.

[0033] In an environmen...

Embodiment 2

[0091] figure 2 It is a schematic structural diagram of an image acquisition system according to Embodiment 2 of the present invention, according to the following figure 2 Describe in detail the composition of the system.

[0092] The image acquisition system includes the following units:

[0093] Image Acquisition Unit , which acquires the depth image information collected by the depth camera and the color image information collected by the color camera for the same scene.

[0094] In this embodiment, it is preferable to use a camera model of Mesa Imaging SR 4000 as a depth camera, and a camera of a model Point Gray FL280S2C ​​as a color camera to form a hybrid camera acquisition system to simultaneously acquire depth image information and RGB color image information of the scene , where the depth image information is the information representing the three-dimensional geometric structure of the scene.

[0095] Further, the depth camera and the color camera are fixed on...

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 an image acquiring method for removing image blurring and an image acquiring system. The method comprises the following steps: obtaining a depth image acquired by a depth camera and a color image acquired by a color camera; obtaining a depth value of each point on each color image based on the depth of each point on the depth image; blocking the color image to estimate a fuzzy core of each image block, determining a confidence weight value of the fuzzy core of each image block based on the depth value of each point on each image block; obtaining the initial distribution of the movement of the color camera within exposure time in a high-dimensional movement space based on the confidence weight value and the fuzzy core; substituting the initial distribution in a Bayes' formula to serve as a prior distribution of the camera movement, thus obtaining an image which maximizes the corresponding posterior distribution and serves as a sharp image. The method and system provided by the invention are suitable for the image acquiring and deblurring application in a large-depth range scene without insufficient lights, and can be used for improving the convergence rate and robustness of the algorithm.

Description

technical field [0001] The invention relates to the fields of computer vision and computational photography, in particular to three-dimensional scene perception, multi-view geometry and image deblurring technologies. Background technique [0002] With the development and wide application of digital camera equipment, the price of consumer camera equipment has been greatly reduced, but these camera equipment generally lack good anti-shake technology. Consumers who use this type of camera equipment generally do not have relatively professional photography skills, thus causing a large amount of pictures to be taken to be blurred due to careless operations during shooting. [0003] Removing image blurring caused by camera shake is an image processing enhancement technology. To solve this problem, a large number of image deblurring algorithms have been proposed. Most of these algorithms assume that the image has a globally consistent blur kernel. The assumption of globally consis...

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): G06T5/00G06T5/50
Inventor 戴琼海岳涛
Owner TSINGHUA 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