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Face image fuzziness computing method and device

A face image and fuzziness technology, applied in the field of image processing, can solve problems such as inaccurate evaluation results

Active Publication Date: 2016-08-24
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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Problems solved by technology

Therefore, if the image blurriness evaluation method based on the local gradient analysis model does not consider the image background, it will get inaccurate evaluation results

Method used

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  • Face image fuzziness computing method and device
  • Face image fuzziness computing method and device
  • Face image fuzziness computing method and device

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Embodiment Construction

[0064] 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 creative efforts fall within the protection scope of the present invention.

[0065] figure 1 A schematic flow chart of a method for calculating the blurriness of a human face image provided by an embodiment of the present invention, the method includes the following steps:

[0066] S101. Calculate the local gradient value of each pixel point in the image, and perform normalization processing on the local gradient value of each pixel point.

[0067] The local gradient value of each pixel point in the image refers to the gradient value of pi...

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Abstract

The embodiment of the invention discloses a face image fuzziness computing method and device which prevent a high local gradient value due to strong light by normalizing the local gradient value of each pixel, which prevent an increase in the local gradient value due to plenty of background texture by assigning different weighted values to pixels of a face or background; and which prevent influence of the noise of image acquisition equipment on fuzziness evaluation by introducing gradient density. The method may overcome influence of light change and the noise of background and acquisition equipment, objectively and accurately evaluate image quality, and is good in robustness.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for calculating the fuzziness of a human face image. Background technique [0002] The face image is used as the input of face recognition, and its quality has a great influence on the recognition result. Before face recognition, it is necessary to evaluate the quality of the face image, identify poor quality images, repair the image, improve the quality, or discard the image and obtain a better quality image as input. [0003] The more commonly used method in image quality evaluation is to calculate the blur of the image. At present, there are mainly two kinds of objective evaluation methods for the evaluation of image blur. The first type is the full-reference evaluation method, that is, the original image before degradation is used as a reference, and the image before and after degradation is compared for blur evaluation. This type of met...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168G06T2207/30201
Inventor 张兆丰田第鸿
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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