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Method for compensating and enhancing dynamic shielded image in real time

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

Inactive Publication Date: 2010-12-29
NAT UNIV OF DEFENSE TECH
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  • 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

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Embodiment Construction

[0087] figure 1 Is the overall flow chart of the present invention. The whole process is divided into three steps:

[0088] 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.

[0089] 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.

[0090] The third step is to enhance the compensated image, including adaptive gray scale stretching and edge enhancement, to obtain a compensated and enhanced image.

[0091] 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...

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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 outputby 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...

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Application Information

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Patent Type & Authority Patents(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
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