Full view stabilizing method based on global characteristic point iteration

A global feature and feature point technology, applied in the field of image processing, can solve the problems of reducing the quality of the output video, unable to follow the scanning motion, and low accuracy of image motion parameter estimation.

Inactive Publication Date: 2008-12-03
XIDIAN UNIV
View PDF0 Cites 48 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The deficiencies of the above-mentioned existing motion estimation methods and image compensation methods lead to low estimation accuracy of image motion parameters, cannot process complex random jitter and complex motion scenes of the camera in real time, cannot follow the scanning motion, and the loss of boundary information will be reduced. The quality of the output video

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
  • Full view stabilizing method based on global characteristic point iteration
  • Full view stabilizing method based on global characteristic point iteration
  • Full view stabilizing method based on global characteristic point iteration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be described in further detail below with reference to the accompanying drawings.

[0061] refer to figure 1 , the steps of image motion parameter estimation of the present invention are as follows:

[0062] Step 1, extract feature points from the original reference image.

[0063] Divide the original image I(x, y) into 16 non-overlapping areas of 4×4, and use the Harris corner detection method to extract feature points in each area. The process is:

[0064] (1a) Calculate the gradient image using the following formula:

[0065] X = I ⊗ ( - 1,0,1 ) = ∂ I / ∂ X Y = ...

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 panorama image stabilization method based on the iteration of global characteristic points. The method of the invention includes two parts of the estimation of image motion parameters based on the iteration of characteristic points and the compensation of image motion based on the wave filtering. The estimation of global motion parameters includes that a Harries characteristic point which is the most stable in the image is combined with a characteristic window; local characteristic points are gradually deleted through the identification of the distance consistency and the updating of the iteration of characteristic points so that the global characteristic point set converges rapidly and the global motion parameters can be accurately obtained. The compensation of the motion image includes that the global motion parameters are filtered to acquire dither parameters, and actual dither parameters are compensated and the normal scanning motion of an image pickup system is retained; simultaneously, the image fusion is combined with the compensation to realize the output of a panorama image. The method of the invention can effectively process the dithers such as translation, rotation and zooming, etc., of the image pick-up system and more complex local motion of the scene, and can be used for removing the influence on the video sequence by a motion carrier so as to output a stable video and improve the observation effect of the video monitoring or tracking.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to image stabilization processing, specifically an electronic image stabilization method for video sequences, which can be used to eliminate the influence of moving carriers on video sequences, effectively and stably output videos, and improve the performance of video monitoring or tracking systems. Observe the effect. Background technique [0002] With the wide application of TV camera systems in various fields, the deterministic requirements for image information are also increasing. The most basic and most important point is to require high-quality video images with certain clarity and stability. . The working effect of the TV camera system is often affected by the attitude change or vibration of the carrier at different times, which is reflected on the monitor, making the obtained image information unstable or even blurred. Because this unstable image will cause fatigue...

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): H04N7/26G06T7/20H04N19/51
Inventor 郭宝龙朱娟娟
Owner XIDIAN UNIV
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