Image de-spin and stabilization method based on subarea matching and affine model

A combination of affine model and technology, applied in the field of video image processing, can solve problems such as electronic image stabilization of video images

Inactive Publication Date: 2013-11-20
CHANGSHA CHAOCHUANG ELECTRONICS TECH
View PDF2 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an image derotation and image stabilization method based on the combination of partition matching and affine model. The method solves the problem of rotation and motion when there is a rotation motion state by solving the rotation vector and global translation vector of the video image on the motion platform. Technical issues such as electronic image stabilization of video images

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 de-spin and stabilization method based on subarea matching and affine model
  • Image de-spin and stabilization method based on subarea matching and affine model
  • Image de-spin and stabilization method based on subarea matching and affine model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] 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.

[0067] see figure 1 , in an embodiment of the present invention, an image derotation and image stabilization method based on the combination of partition matching and affine model, during the movement of the camera platform, the optical image sequence is acquired based on the optical sensor, and also includes the following four steps:

[0068] The first step is to calculate the image histogram, and equalize the image histogram of the reference frame and the cu...

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 de-spin and stabilization method based on subarea matching and an affine model, which comprises the steps that 1, a reference frame and a current frame are subjected to image histogram equalization processing; 2, four areas distributed crosswise and an image center area are selected as matching areas of motion estimation; 3, an affine transformation model is established, and a current frame motion vector is solved; and 4, a kalman filter model is established, and motion compensation of a current frame displacement vector is achieved. In Step 2, the operand is less; a speed is high; the motion estimation capacity is favorable when translation and rotation motion coexist in an image; and an interframe estimated error is less than one pixel. According to the method, the random motion quantity of a video image can be removed with high precision; scanning motion inherent in a platform or a load is kept; and the smoothness of a dynamic image sequence is improved. The method can effectively improve the video image and inhibit random noise.

Description

technical field [0001] The invention belongs to the field of video image processing, in particular to an airborne image derotation and electronic image stabilization method based on the combination of partition matching and affine model. Background technique [0002] Carriers such as airplanes, cars, or ships have attitudes that change continuously during motion. The video imaging systems on these carriers vibrate relative to the captured scene, and the acquired optical image sequence has frame-to-frame jitter and rotation, resulting in image distortion. The information is unstable and fuzzy, resulting in a decrease in the visual quality of the image. This unstable optical image sequence greatly reduces the effectiveness of video applications such as image monitoring and image analysis, so stabilizing the optical image sequence captured on a moving carrier is a problem that must be solved. [0003] The research on electronic image stabilization technology abroad has a histo...

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): H04N5/21G06T7/20
Inventor 李吉成鲁新平罗宇谦余知音宁平张凯
Owner CHANGSHA CHAOCHUANG ELECTRONICS TECH
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