Image de-blurring method based on bright stripe information in image

A bright stripe, deblurring technology, applied in the field of image processing, can solve problems such as lack, and achieve the effect of high application value

Active Publication Date: 2016-09-28
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The blurred image with bright stripes provides blur kernel information. At present, there is still a lack of information that can fully extract the brigh

Method used

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  • Image de-blurring method based on bright stripe information in image
  • Image de-blurring method based on bright stripe information in image
  • Image de-blurring method based on bright stripe information in image

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Embodiment Construction

[0083] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0084] The present invention provides an image deblurring method based on bright fringe information in an image. The method utilizes the bright fringe existing in a motion blurred image to obtain the shape information of the blur kernel, and combines the natural image and other prior items of the blur kernel to image Restoration is constrained to obtain accurate blur kernels and high-quality restored images.

[0085] In this embodiment of the present invention, for the blurred image to be processed, the following steps are performed to de-blur the image to obtain the final de-blurred image; the operation process is as follows: figure 1 shown, including the following steps:

[0086] Step 1: Manually select the image block containing the brightest stripes;

[0087] In the embodiment of the present in...

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Abstract

The invention discloses an image de-blurring method based on bright stripe information in an image. Bright stripes existing in a motion blurred image are applied, information of the shape of a blurred kernel is obtained, image restoration is restrained through combining the image and the blurred kernel, and an accurate blurred kernel and a high-quality restoration image are obtained. The method particularly comprises steps: the optimal image block containing the optimal bright stripes is selected; the blurred kernel shape information is obtained through extraction; blurred kernel estimation is carried out to obtain the final blurred kernel; and non-blind deconvolution is carried out, and a distinct restoration image is obtained through restoration to serve as the final de-blurring image. An actually-photographed bright stripe-containing blurred image testing set is built; and by adopting the technical scheme of the invention, the accurate blurred kernel and the high-quality restoration image can be obtained, and the application value in the image processing field is high.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image enhancement processing method, in particular to an image deblurring method based on bright stripe information in an image, which uses the bright stripes in the blurred image to deblur the image, and restores a high-quality image image. Background technique [0002] Due to the relative motion between the camera and the captured scene, the acquired images often have a certain degree of motion blur. The model of image degradation can be expressed as the following convolution process [0003] [0004] Wherein, I is the blurred image obtained, L is the clear image, k is the blur kernel (i.e. point spread function), N is the noise of the image acquisition device, Represents a convolution operation. In (1), the only known quantity is the blurred image I, so the process of solving L by blind deconvolution of a single image is a highly ill-conditioned problem. [0...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/20021G06T5/30G06T2207/20016G06T2207/20044G06T2207/20201G06T2207/30241G06T5/20
Inventor 王荣刚张欣欣王振宇高文
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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