A method and device for evaluating image blur

An evaluation method and technology of fuzziness, applied in the field of image recognition, can solve problems such as fuzzy evaluation errors and inaccuracies

Active Publication Date: 2021-04-27
广智微芯(扬州)有限公司
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Problems solved by technology

Although this type of method has a better effect on the blur evaluation of the same face, the good effect is largely achieved by relying on the preset threshold, that is, currently relying on the method of calculating the sum or average of the image gradient to blur the image The evaluation of is not accurate, because of this, the error of its fuzzy evaluation of different faces is relatively large

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  • A method and device for evaluating image blur
  • A method and device for evaluating image blur
  • A method and device for evaluating image blur

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] Such as figure 1 As shown, it is a flowchart of an image blur evaluation method according to an embodiment of the present invention, and the method includes:

[0031] S101: Acquire an image to be evaluated, and convert the image to be evaluated into a grayscale image;

[0032] The image to be evaluated includes a human face image, and is not limited to a human face image. For the evaluation of a human face image, an image containing a human face is col...

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Abstract

The present invention provides an image blur evaluation method and device. The method includes: acquiring an image to be evaluated, converting the image to be evaluated into a grayscale image; calculating the directional Gradient magnitude, obtaining the gradient magnitude matrix of the grayscale image; according to the gradient magnitude matrix, obtaining the gradient magnitude field of the gradient magnitude matrix; counting the gradient magnitude matrix in which the magnitude is zero The number of pixels, the ratio of the number of pixels whose magnitude is zero to the number of pixels corresponding to the entire gradient magnitude matrix is ​​obtained as the zero gradient ratio; according to the gradient magnitude domain and the zero gradient ratio, obtain An evaluation score for evaluating the blur of the image to be evaluated; comparing the evaluation score with a set threshold, and determining that the image to be evaluated is a clear image when the evaluation score is greater than the set threshold. The technical scheme of the invention improves the accuracy of image recognition and ensures the safety of recognition.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an image fuzziness evaluation method and device. Background technique [0002] Image recognition, as the first biometric technology applied by artificial intelligence, has penetrated into the lives of people all over the world. You need to scan your face to unlock your phone every day, you need to scan your face for verification when you pay with your mobile phone, you need to scan your face for attendance when you commute to and from get off work, you need to scan your face to pass when you enter and exit buildings, and so on. Image recognition has been related to the safety of personal property. Therefore, it is very important to improve the accuracy of image recognition and ensure the absolute safety of recognition. [0003] The face image is used as the input of image recognition, and its quality directly affects the recognition result. Poor quality i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/00
CPCG06T7/0002G06T2207/30168G06T2207/30201G06V40/16
Inventor 王水根崔东顺孙圣金钱兴
Owner 广智微芯(扬州)有限公司
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