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Out-of-focus blurred image blind restoration method based on medium frequency

A defocus blur and blind restoration technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of poor restoration effect, slow restoration speed, and low accuracy of blur parameter identification of defocus blur images, and achieve restoration The effect of fast speed, effective recovery, and less interactive parameters

Active Publication Date: 2015-01-21
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0016] The technical problem to be solved by the present invention is: to overcome the problems of low identification accuracy, poor restoration effect, and slow restoration speed of the blur parameters of the defocused blurred image in the existing method, and to provide a defocused blurred image using the principle and method of the frequency domain of the image. A Fast Blind Restoration Method for Blurred Images

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  • Out-of-focus blurred image blind restoration method based on medium frequency
  • Out-of-focus blurred image blind restoration method based on medium frequency
  • Out-of-focus blurred image blind restoration method based on medium frequency

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Embodiment Construction

[0030] The following are specific implementation methods of the present invention. But following embodiment only limits to explain the present invention, and protection scope of the present invention should comprise the whole content of claim, and promptly can realize the whole content of claim of the present invention to those skilled in the art through following embodiment.

[0031] The present invention comprises seven steps, and its specific implementation mode is as follows:

[0032] (1) Calculating the frequency spectrum of the defocused blurred image, the method is: calculating the discrete Fourier transform of the defocused blurred image and performing centering and logarithmization. Among them, the discrete Fourier transform and its centering can be realized with conventional calculation formulas, which will not be repeated here. Logarithmization can be realized by the following formula:

[0033] G ln (u,v)=ln[|G(u,v)|+ε] (6)

[0034] In the formula, G ln (u, v) i...

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Abstract

The invention provides an out-of-focus blurred image blind restoration method based on medium frequency. The blind restoration method includes the steps of calculating the frequency spectrum of an out-of-focus blurred image, calculating an elliptical track mean function of the frequency spectrum of the out-of-focus blurred image, carrying out variable-span smoothing filtering on the elliptical track mean function to obtain a benchmark function, calculating a medium-frequency domain of the frequency spectrum of the out-of-focus blurred image by means of the elliptical track mean function, estimating the position of a first dark ring in the medium-frequency domain by means of the elliptical track mean function and the benchmark function, calculating an out-off-focus radius through the estimated position of the first dark ring and generating an out-off-focus optical transmission function, and restoring the image through a wiener filter through the medium frequency. Compared with the prior art, the out-of-focus blurred image blind restoration method has the advantages that the out-off-radius and other parameters can be automatically identified in the out-of-focus blurred image, effective restoration of the out-of-focus blurred image is achieved, noise restraint ability is high, interaction parameters are few and restoration speed is high.

Description

technical field [0001] The invention belongs to the technical field of image blind restoration, and in particular relates to an intermediate frequency-based blind restoration method for defocused blurred images. Background technique [0002] Image restoration is a hot technology in recent years, which has been widely used in astronomy, military, medicine, remote sensing, television and other fields. Its purpose is to restore the original clear scene from the degraded observation image. The mathematical degradation model can be described as the convolution of the original image and the point spread function (PSF) in the presence of additive noise, as follows: [0003] g ( x , y ) = f ( x , y ) ⊗ h ( x , y ) ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 罗一涵付承毓
Owner INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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