Method and device for identifying image definition

An image definition and image technology, applied in the field of image processing, can solve the problem of difficult to judge clear pictures, blurred photos, etc., and achieve the effect of good recognition and strong applicability

Active Publication Date: 2016-07-27
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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AI Technical Summary

Problems solved by technology

Due to the variety of user images, the sharpness evaluation algorithm will face various scenarios, and it is difficult for traditional image recognition methods to take into account

Method used

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  • Method and device for identifying image definition
  • Method and device for identifying image definition
  • Method and device for identifying image definition

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Embodiment Construction

[0084] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0085] figure 1 is a flow chart of a method for identifying image sharpness shown according to an exemplary embodiment, such as figure 1 As shown, the method for identifying the sharpness of an image can be applied to an image recognition device, and the method includes the following steps S101-S103:

[0086] In step S101, the region of interest and the edge image of the image to be recognized...

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Abstract

The invention relates to a method and device for identifying image definition.The method for identifying the image definition comprises the steps that a first convolutional neural network is adopted to identify an interest region of an image to be identified and edge images, and an interest region identification result and at least one edge image identification result are obtained; the interest region identification result and the edge image identification results are adjusted respectively, and an interest region processing result and edge image processing results are obtained; the image to be identified, the interest region processing result and the edge image processing results are input into a second convolutional neural network, and the definition of the image to be identified is obtained.According to the method and device for identifying the image definition, a region concerned by a user can be better analyzed, the image definition identification result is closer to cognition of the user, the image definition of complex scenes such as background blurring can be better identified, and the applicability is high.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, in particular to a method and device for identifying image clarity. Background technique [0002] Image sharpness evaluation has always been an important content in the field of image processing, and has a wide range of applications in image compression, communication, printing, display, reconstruction, enhancement and other fields. [0003] Usually, users have many images, and image recognition algorithms are required to identify which images are clearer, and then operations such as sorting or deletion can be performed. Due to the variety of user images, the sharpness evaluation algorithm will face various scenarios, and it is difficult for traditional image recognition methods to take into account various scenarios. For example, for an image with a blurred background, it is difficult for traditional image recognition methods to determine whether it is a clear picture or a blu...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20084G06T2207/30168
Inventor 王百超陈志军侯文迪
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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