Real-time motion blurred image restoration method for photoelectric hybrid joint transform correlation

A motion blur image and joint transformation technology, applied in the field of image processing, can solve problems such as motion image blur, poor real-time performance, and image blur

Inactive Publication Date: 2012-06-20
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

[0004] In order to overcome the problems of blurred moving images and poor real-time performance in imaging, the real-time motion blurred image restoration

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  • Real-time motion blurred image restoration method for photoelectric hybrid joint transform correlation
  • Real-time motion blurred image restoration method for photoelectric hybrid joint transform correlation
  • Real-time motion blurred image restoration method for photoelectric hybrid joint transform correlation

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Embodiment Construction

[0025] The following will be described in detail in conjunction with the accompanying drawings and embodiments, but the present invention is by no means limited to the described embodiments.

[0026] Such as figure 1 As shown, the photoelectric hybrid joint transformation related real-time motion blurred image restoration method includes the following steps:

[0027] Step (1) First, use the high-speed CCD image sensor to obtain the image sequence of the target, store it in the computer 1, and input the adjacent images side by side into the spatial light modulator 1, where the current frame is the reference image r(x, y), The next frame is the input image (target image) t(x,y), so the joint image is r(x,y)+t(x,y).

[0028] Step (2) irradiate the spatial light modulator 1 with the collimated laser light through the lens 1, and pass through the Fourier transform lens 2, and use the CCD1 detector to record the combination of the reference image and the target image on the output ...

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Abstract

The invention belongs to the field of image processing, in particular to a restoration method for a real-time motion blurred image of photoelectric hybrid joint transform correlation. The method comprises the following steps of: performing optical correlation computation on an image sequence acquired by using a high-speed CCD (Charge Coupled Device) according to a quick real-time optical correlation principle, so that correlation detection of an image motion displacement vector is realized, wherein a processing speed is increased by hundreds of times than that of digital-electronic processing; and establishing an accurate model of a point spread function (PSF), and determining an image restoration algorithm through the model, so that high-resolution real-time motion image restoration is performed on a blurred image obtained by using a main imaging CCD system. The method has high displacement vector detection accuracy and accurate PSF modeling, so that image restoration accuracy is high; and meanwhile, the method has the advantages of high speed, large volume and parallel processing of optical image processing and flexibility, accuracy and programmability of a digital processing technology, so that image instantaneity is high.

Description

technical field [0001] The invention relates to a motion blurred image restoration method, especially a real-time motion blurred image restoration method related to photoelectric hybrid joint transformation. field of image processing. Background technique [0002] High-resolution images are widely used in various fields, especially satellite imaging, aerial reconnaissance imaging, remote sensing and other fields. However, images in these applications are often affected by various factors such as flight movement, various vibrations, and attitude changes, resulting in blurring and a decrease in image spatial resolution. In addition, the image information obtained by aerospace imaging is often massive. It is an inevitable requirement for fast-paced modern high-tech to quickly process these massive information in real time and quickly obtain useful target information in the first time. Although the development of computers has greatly improved the speed of image processing, it...

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Application Information

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IPC IPC(8): G06T5/50H04N5/232
Inventor 钱义先邵杰程晓薇金伟民
Owner ZHEJIANG NORMAL UNIVERSITY
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