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Image processing method for beautifying skin texture of human face

An image processing and skin technology, which is applied in the field of image processing to beautify the texture of the human face and skin, can solve problems such as uneven light, excessive noise on the human face and skin, and achieve the effect of avoiding poor results

Inactive Publication Date: 2020-06-16
齐力软件科技(广州)有限公司
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Problems solved by technology

[0004] Aiming at the existing technical defects, the present invention provides an image processing method for beautifying the texture of human face and skin, which can solve the situation of more noise or uneven light on the human face and skin, and preserve and optimize the texture of the original skin after skin beautification

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  • Image processing method for beautifying skin texture of human face

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Embodiment Construction

[0017] The present invention provides an image processing method for beautifying human face skin texture, referring to figure 1 , the implementation method of the present invention is described in detail.

[0018] Step S1, acquire the image, detect the light perception of the face image and perform segmentation;

[0019] Step S2, input the sliced ​​image, perform screening, obtain the channel with the least noise in the sliced ​​image, and perform Gaussian filtering;

[0020] Step S3, using OpenCV for high-contrast preservation, and obtaining image detail slices;

[0021] Step S4. Automatically generate a sliced ​​image by analyzing the light perception matching of the original sliced ​​image, and mix it with the linear light pattern mixing parameters of the high-contrast image;

[0022] Step S5, based on the local comparison table of face skin color optimization color generated by deep learning, the processed dermabrasion image is divided into slices for skin color optimiza...

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Abstract

The invention discloses an image processing method for beautifying the skin texture of a human face. The method comprises the following steps: detecting the light sensation of a face image for fragmentation, inputting fragmented images, obtaining a channel with the least noise points in the fragmented image to carry out Gaussian filtering; and executing high contrast reservation, obtaining image detail fragments, automatically generating a fragment image through original fragment image light sensation, mixing the fragment image with linear light layer mixing parameters of the high contrast image, and performing skin color optimization on the processed buffing image fragments based on a human face skin color optimization color local comparison table generated by deep learning. According tothe method provided by the invention, blurring caused by different image light senses or different face skin types due to Gaussian filtering of globally extracted noisy points can be avoided, and thetexture of face skin is beautified.

Description

technical field [0001] The invention relates to the technical field of image and video processing, in particular to an image processing method for beautifying human face skin texture. Background technique [0002] With the rapid development of the mobile Internet and mobile phones, more and more photo shooting and video shooting applications are emerging in the market in order to meet the various needs of users, but the current applications, due to the shooting angle, light, Due to the background, pixels, etc., if the user does not apply careful makeup in advance, it will cause problems such as shooting videos, and the skin of the face in the photo has no texture, greasy, reflective light, and poor temperament. [0003] The existing beauty technology will lose the texture of the skin and the details of the picture when the skin with uneven light and more noise is processed. Contents of the invention [0004] Aiming at the existing technical defects, the present invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10004G06T2207/20024G06T2207/20081G06T2207/30201G06T2207/30088G06T5/77
Inventor 杨锡强杨冠祥
Owner 齐力软件科技(广州)有限公司
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