High-contrast buffing algorithm

A high-contrast, algorithmic technology, applied in the field of beauty, which can solve problems such as no edge-preserving effect and blurring

Pending Publication Date: 2022-03-22
重庆米弘科技有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

Although the Gaussian filter algorithm is slightly faster than the surface blur algorithm, the Gaussian filter algorithm will also blur the skin in some boundary areas, which does not have a good edge preservation effect

Method used

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Embodiment Construction

[0063] The present invention will be described in further detail below.

[0064] see figure 1 and figure 2 , a high-contrast microdermabrasion algorithm, comprising the following steps:

[0065] S1: Obtain the original face image S, and perform edge-preserving filtering on the original face image S to obtain image A;

[0066] S2: Perform high-contrast calculations on image A and the original face image S to obtain image F. The calculation formula is as follows:

[0067] B=S-Gauss(S, r 1 )+128 (1-1);

[0068] S3: For image F with radius r 2 Obtained by Gaussian blur; the default value of the radius parameter is 3.

[0069] S4: Perform linear light layer mixing calculation on image H and image S to obtain image E. The linear light mixing calculation formula 1-2 of the layer is as follows:

[0070] E=2*C+S-256 (1-2);

[0071] S5: Perform skin detection and face detection on the image A to obtain a skin mask image M;

[0072] S6: According to image F, image A and image E...

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Abstract

The invention relates to a high-contrast buffing algorithm which comprises the following steps: S1, acquiring an original face image S, and performing edge-preserving filtering on the original face image S to obtain an image A; s2, performing high contrast calculation on the image A and an original face image S to obtain an image F; s3, Gaussian blur is carried out on the image F according to the radius r2 to obtain an image H; s4, performing linear light layer hybrid calculation on the image H and the image S to obtain an image E; s5, performing skin detection and face detection on the image A to obtain a skin mask image M; s6, fusing the image A and the image E according to the image F to obtain an image G; and S7, the image G and the image S are fused according to the parameter r3, and a final output image D is obtained and output. The high-contrast buffing algorithm uses a filter to soften dry and rough skin well, has a good application effect, is suitable for fine trimming of a face image, does not have distortion and false effects, and is suitable for being put into application.

Description

technical field [0001] The invention relates to a beautifying method, in particular to a high-contrast microdermabrasion algorithm. Background technique [0002] With the development of the economy and the improvement of living standards, the scale of the photography industry continues to grow. Among them, portrait photography mainly includes wedding photography, children's photography, family portraits, etc., and the market demand growth trend is obvious. The post-image processing of portrait photography is mainly aimed at the beautification of human faces and human skin. Large-scale studio photos and personal photos require professional, fast, parameter-adaptive automatic skin beautification algorithms for processing. [0003] There are some drawbacks in the commercial or open-source beauty skin microdermabrasion algorithms or models currently on the market. Excessive skin microdermabrasion can lead to skin distortion, unreserved texture, or the model is too complex, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/20G06T5/50G06T5/00G06T7/10G06N3/04G06N3/08
CPCG06T5/20G06T5/50G06N3/08G06T7/10G06T2207/20028G06T2207/20221G06T2207/30204G06T2207/30201G06N3/045G06T5/70
Inventor 何鑫杨梦宁李小斌汪涵李亚涛向刚陈开润
Owner 重庆米弘科技有限公司
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