Method for compensating and enhancing dynamic shielded image in real time

A real-time compensation and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as undiscovered public research materials

Inactive Publication Date: 2009-10-07
NAT UNIV OF DEFENSE TECH
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

No published research has been found on this issue

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
  • Method for compensating and enhancing dynamic shielded image in real time
  • Method for compensating and enhancing dynamic shielded image in real time
  • Method for compensating and enhancing dynamic shielded image in real time

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0083] figure 1 Is the overall flow chart of the present invention. The whole process is divided into three steps:

[0084] In the first step, based on two consecutive input images, a robust method is used to estimate the motion vector, including calculating the gradient magnitude, accumulating row (column) histogram, and histogram correlation operations to obtain the motion vector between the two frames of images.

[0085] In the second step, according to two consecutive frames of input images and their motion vectors, the time-domain Kalman filter algorithm of pixel gray value is used to compensate for dynamic occlusion to obtain a compensated image.

[0086] The third step is to enhance the compensated image, including adaptive gray scale stretching and edge enhancement, to obtain a compensated and enhanced image.

[0087] figure 2 , 3 , 4 reflect the impact of dynamic occlusion on the gray projection algorithm. figure 2 It is two consecutive frames of images with dy...

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 provides a method for compensating and enhancing a dynamic shielded image in real time, solves the real-time compensation and enhancement problems of the dynamic shielded image and improves the quality of the dynamic shielded image. The technical proposal comprises the steps of estimating the motion vector between two adjacent images by a moderate method based on a video image output by a camera, combining motion compensation with a time domain Kalman filter technique of a pixel gray value, performing time domain filtering treatment for all pixels so as to compensate the image information of a dynamic shielded area, and finally performing self-adaptive grey widening and edge enhancement treatments for the compensated image.

Description

technical field [0001] The invention belongs to the technical field of image enhancement and relates to a method for real-time compensation and enhancement of a dynamic occlusion image. Background technique [0002] Image enhancement is an important research direction in the field of image processing. The main purpose of image enhancement is to make the enhanced image convenient for subsequent processing. At present, the main methods of image enhancement can be divided into four categories: spatial domain method, frequency domain method, motion vector estimation method, and motion region detection method. The basic principles and technical characteristics of these methods are as follows: [0003] 1. Airspace law [0004] The spatial domain method directly processes pixels, including basic grayscale transformation, histogram transformation, spatial filtering and other methods. This type of method uses image template convolution as the main form of calculation. It is simpl...

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): G06T5/00G06T5/10G06T7/20G06T7/277
Inventor 张志龙王鲁平纪明韩梅王生让杨光张焱李吉成
Owner NAT UNIV OF DEFENSE 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