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Image blur detection method based on phase spectrum

A technology of blur detection and phase spectrum, applied in the field of image processing, can solve the problems of reducing the accuracy of image blur detection and misidentifying as clear areas

Active Publication Date: 2021-06-29
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

However, the blur feature mentioned above is sensitive to both the sharp regions of the image and the strong edges in the blurred regions of the image
This makes strong edges in blurred areas of the image falsely identified as sharp areas, reducing the accuracy of image blur detection

Method used

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  • Image blur detection method based on phase spectrum
  • Image blur detection method based on phase spectrum
  • Image blur detection method based on phase spectrum

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Embodiment Construction

[0015] The present invention will be described in detail below in combination with specific embodiments.

[0016] The method proposed by the present invention is as figure 1 As shown, the specific steps are as follows:

[0017] Step 1. If the image I is a color image, the image is grayscaled to obtain the grayscaled image I g . If the image I itself is already a grayscale image, then let I g =I.

[0018] Step 2. To grayscale image I g Do boundary extensions. Assuming that the image contains h rows and w columns, the continuation method is: (1) add w / 2 elements at the beginning of each row of the image before the beginning of the row; (2) add w / after the end of each row of the image 2 elements at the end of the row; (3) add h / 2 elements at the beginning of each column before the beginning of each column; (4) add h / 2 elements at the end of the column after the end of each column of the image. Extended Image I e Will contain 2h rows and 2w columns.

[0019] Step 3. For ...

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Abstract

The invention discloses an image blur detection method based on the phase spectrum, grayscales the image and performs boundary extension; performs two-dimensional discrete Fourier transform on the extended image, sets the amplitude spectrum to 1, and performs two-dimensional inverse Discrete Fourier transform, which binarizes the phase spectrum image. The final fuzzy detection result image is obtained by processing the image with the relative total variation filter. The invention has the beneficial effect of effectively improving the accuracy of the image blur detection method.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image blur detection method based on a phase spectrum. Background technique [0002] Image blur can result from relative movement between the camera and the object or defocusing of the camera. The purpose of image blur detection is to distinguish the blurred part from the clear part in the image. The prior art uses the variation information of image intensity as fuzzy features (such as: gradient, discrete cosine transform, singular value decomposition and subband decomposition, etc.) for fuzzy detection. However, the blur feature mentioned above is sensitive to both the sharp regions of the image and the strong edges in the blurred regions of the image. This makes the strong edges in the blurred areas of the image mistakenly identified as sharp areas, which reduces the accuracy of image blur detection. Contents of the invention [0003] The object of the present in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 张仁彦
Owner SHANDONG UNIV OF SCI & TECH
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