Method and device for processing human face image

Abstract

The present invention discloses a face image processing process and apparatus. The scheme of the invention will project the face region of the image in the beforehand disciplinary pivot space, and reconstructs according to the projection result. As the beforehand disciplinary pivot space only reserves the low frequency partial component of the face image and removes the high-frequency part, thereby the reconstructed face image only contains low-frequency components in the image and removes the high-frequency components. In the face images, the low frequency part usually includes brightness, skin color, gesture, face shape, face expression and the like information, while the high-frequency part usually includes flecks, wrinkles, thickness veins and other details. As a result, by the projection and reconstruction of facial image in the pivot space, the skin color and veins of the face images become uniform, wrinkles decrease, spots disappear, and so on, so as to achieve the goal of the human face image improvement and face beautification. Since the scheme of the invention only process the part of the face image, which will not affect the whole image.

Description

technical field [0001] The invention relates to image processing technology, in particular to a face image processing method and device. Background technique [0002] The image acquired by the image capture device usually needs to be processed by brightness adjustment, denoising, edge enhancement, etc., so that the obtained image has appropriate brightness, contrast, etc. Currently, these processes are performed on the entire image. [0003] As the main region of interest in the image, the face image region is usually the region that people care about the most. In different application environments, people have different requirements for images. In application environments such as video chatting, people often hope to beautify face images, reduce wrinkles, eliminate color spots, and smooth skin. Existing face beautification methods mainly adjust the brightness and skin color of people's faces. Like this, while improving the brightness and skin color of people's faces, the ...

AI Technical Summary

Problems solved by technology

The existing face beautification method is mainly to adjust the brightness and skin color of the human face. In this way, while improving the brightness and skin color of the human face, the brightness and chroma of the whole image may become unacceptable

In addition, there is no special method for beautifying the face

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