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Double-iterative blending blind restoration method for motion blurred image

A motion blurred image and blurred image technology, applied in the field of image processing, can solve the problems of insufficient noise resistance, stability and applicability, and achieve the effect of overcoming various interference, accurate estimation and good restoration effect.

Active Publication Date: 2015-12-09
INST OF OPTICS & ELECTRONICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0019] The technical problem to be solved by the present invention is: to overcome the problems of insufficient noise resistance, stability and applicability of the existing blind motion blurred image restoration method, and to provide a dual-iterative hybrid blind restoration method for motion blurred images

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  • Double-iterative blending blind restoration method for motion blurred image
  • Double-iterative blending blind restoration method for motion blurred image
  • Double-iterative blending blind restoration method for motion blurred image

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Embodiment Construction

[0060] 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.

[0061] The present invention comprises six steps, and its specific implementation method is as follows:

[0062] Step 1. Calculate three kinds of spectra of the motion-blurred image to be restored, including conventional spectrum, extended logarithmic spectrum and extended logarithmic spectrum without main line.

[0063] The motion blur image to be restored in this embodiment is as follows figure 1 As shown, it can be seen that the text in it cannot be read, and the signal-to-noise ratio is extremely low. In the implementation process of the present invention, three kinds of frequency spectrums will b...

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Abstract

The present invention provides a double-iterative blending blind restoration method for a motion blurred image. The method comprises: calculating three frequency spectra of the to-be-restored motion blurred image, wherein the three frequency spectra include a conventional frequency spectrum, an expansion logarithm frequency spectrum and an expansion logarithm frequency spectrum without a main line; using a general iterative image blind restoration method to initially restore the blurred image, and roughly estimating a motion blurred point spread function with strong spatial domain constrained Hough transform and weak spatial domain constrained Hough transform; using a double-iterative method to perform multiple rounds of rough estimation; using a combined symmetry and power measurement and search method to accurately estimate a motion direction; using a method for searching a global turning point in the expansion logarithm frequency spectrum without the main line to accurately estimate a motion distance; and creating an optical transfer function and using a conventional image restoration method to restore the blurred image. According to the method, the estimation of the motion blurred point spread function is accurate and the restoration effect is good. In addition, the method has the advantages of high noise immunity, good stability, no convergence problem, simplicity for parameter setting and the like, and can be widely applied to motion blurred image restoration in various occasions.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a double-iterative hybrid blind restoration method for motion blurred images. Background technique [0002] Image restoration is a hot technology in recent years, which has been widely used in astronomy, medicine, military, film and television and other fields. Its purpose is to restore the original clear scene from the degraded observation image. Its mathematical model can be described as the convolution of the clear image and the point spread function (PSF) and then added to the noise, as follows: [0003] g ( x , y ) = f ( x , y ) ⊗ h ( x , y ) + n ( ...

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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