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Image processing method and device

An image processing and image technology, applied in the field of convolutional neural network, can solve the problem of weakening the processing effect

Active Publication Date: 2020-10-09
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

If various optimizations are made to the face microdermabrasion algorithm of bilateral filtering to increase the calculation speed, the processing effect will be weakened.

Method used

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  • Image processing method and device
  • Image processing method and device
  • Image processing method and device

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Embodiment Construction

[0089] 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 disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0090] figure 1 It is a flowchart of an image processing method according to an exemplary embodiment. The image processing method can be applied to mobile terminals, such as smart phones, tablet computers, notebook computers and the like. Such as figure 1 As shown, the method includes steps 100 to 103.

[0091] In step 100, according to the image to be processed, a first gradient m...

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Abstract

The present disclosure relates to an image processing method and device, which includes: according to the image to be processed, obtain the first gradient map of the image to be processed in the X direction and the second gradient map of the Y direction, and input the first gradient map The first neural network obtains the processed third gradient map, inputs the second gradient map into the second neural network, and obtains the processed fourth gradient map. According to the image to be processed, the third gradient map and The fourth gradient map is minimized to obtain a result image. The present disclosure uses a minimization processing method, a first neural network and a second neural network to process the image to be processed to obtain the result image, which is not only beneficial to improving the image processing efficiency, but also can effectively remove the flaws of the face in the image to be processed, so as to beautify the image to be processed. The effect of facial skin in images.

Description

technical field [0001] The present disclosure relates to a convolutional neural network, and in particular to an image processing method and device. Background technique [0002] CNN (convolutional neural network) is an efficient recognition method that has been developed in recent years and has attracted widespread attention. A CNN is a feed-forward neural network whose artificial neurons respond to surrounding units within a fraction of the coverage. CNN has excellent performance for large-scale image processing. With the popularization of mobile terminal camera functions, CNN is widely used in facial image beautification algorithms. [0003] In related technologies, the facial skin smoothing algorithm is the core of the beautifying algorithm, which is used to remove facial blemishes and beautify the skin. Most of the current face microdermabrasion algorithms are based on edge-preserving filtering methods, such as bilateral filtering and guided filtering. But these meth...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06N3/08
CPCG06T2207/20081G06T2207/20084G06T5/77
Inventor 杨松
Owner BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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