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Motion target super-resolution image reconstruction method based on optical flow field

A low-resolution image, moving target technology, applied in the field of moving target super-resolution image reconstruction, can solve the problems of high price of high-definition cameras and difficult to use on a large scale

Active Publication Date: 2012-09-19
SOUTHEAST UNIV
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Problems solved by technology

However, high-definition cameras are expensive and difficult to use on a large scale in the short term

Method used

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  • Motion target super-resolution image reconstruction method based on optical flow field
  • Motion target super-resolution image reconstruction method based on optical flow field
  • Motion target super-resolution image reconstruction method based on optical flow field

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Embodiment Construction

[0049] In a specific embodiment, the detailed process of the super-resolution image reconstruction method of a moving target based on the optical flow field will be clearly and completely described in conjunction with the accompanying drawings,

[0050] A method for super-resolution image reconstruction of a moving target based on an optical flow field, characterized in that it proceeds in accordance with the following steps:

[0051] Step 1: Moving target tracking and motion estimation based on optical flow field, acquiring continuous K frames M from the same sensor 1 × M 2 A low-res image of size Y k (x, y), according to the known method for establishing an image coordinate system, establish a coordinate system with coordinates (x, y)=(0, 0) as the origin of the coordinates, so that the images all fall in the first quadrant and obtain low resolution grayscale image sequence {y k (x,y)|0≤x1 , 0≤y2 , k=1, 2,..., K}, where, M 1 , M 2 are the number of rows and columns of t...

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Abstract

The invention provides a motion target super-resolution image reconstruction method based on an optical flow field. The motion target super-resolution image reconstruction method comprises the following step: first, performing motion target tracking and motion estimation based on the optical flow field; second, utilizing an inhomogeneous interpolation method to perform image fusion of low-resolution image sequences; and third, utilizing a wiener filtering method to perform image reconstruction to preliminarily-fused high-definition images to obtain clear high-definition images. In the first step, a motion target image is first captured from a first frame image, a motion target image at the same position in a next frame image is captured according to the position of a motion target image in a reference frame image, the optical flow field between the two motion target images of two frames is calculated, then motion parameters of the motion target images are obtained by utilizing the optical flow field, the positions of the motion target images in the next frame image of the reference frame image are changed according to the motion parameters, and finally adjacent frame images are performed and the motion target images of frame images are tracked or captured by means of the same method.

Description

technical field [0001] The invention relates to the field of image processing, and relates to a super-resolution image reconstruction method of a moving target based on an optical flow field. Background technique [0002] Into the 21st century, video surveillance technology shows increasingly wide application prospects. In urban traffic management, surveillance cameras can be used to monitor traffic conditions in real time, and various traffic violation vehicles can be found; in the field of security, for important departments or sensitive public places, video surveillance systems can be used to monitor emergencies or suspicious persons in real time. How to carry out all-weather, real-time and automatic monitoring of national security departments and sensitive public places has become a problem that countries around the world attach great importance to. Intelligent video monitoring technology is an effective means to solve this problem. In video surveillance applications, d...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T7/20
Inventor 路小波周潞曾维理耿威
Owner SOUTHEAST UNIV
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