A Fast Face Image Beautification Method Combined with Skin Roughness

Abstract

The invention relates to a fast face image beautification method combined with skin roughness, which includes: converting the face image from RGB color space to YCbCr chromaticity space, extracting brightness component, blue chroma component and red chroma component map; combining Use the histograms of the blue chroma component and the red chroma component to find the ellipse center and long and short radii of the skin color ellipse model. Based on the skin color similarity, calculate the skin color soft threshold map; combined with the skin color soft threshold map, process the brightness component to obtain the local skin color variance. Figure, use the local skin color variance map as the smoothing parameter to smooth the brightness component map, perform Gaussian blur on the smooth brightness component map, and then combine the brightness component map with linear mixing to obtain a smooth map; use the skin color soft threshold map as the weight, combine the brightness component map with the smooth The images are fused to obtain a fusion image, and then the fusion image is curved and whitened to obtain the final beautified image. The invention utilizes the similarity and roughness of skin color to eliminate skin color defects while retaining skin texture, and has a remarkable overall beautification effect.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a fast human face image beautification method combined with skin roughness. Background technique [0002] In recent years, with the maturity of digital camera or smart phone photography technology, the resolution of imaging is getting higher and higher, which can more clearly show the details of human face skin, such as freckles, wrinkles, acne, etc., which affect the human face. The beauty of the image. With the continuous improvement of aesthetic concepts, the requirements for display image quality and aesthetics are getting higher and higher. People hope to show beautiful face images. Therefore, the rapid beautification technology of face images is widely used in digital cameras, mobile terminals, advertising, It has a wide range of applications and practical value in multimedia such as conferences. [0003] At present, face beautification technology has become a research hot...

AI Technical Summary

Problems solved by technology

Based on the direction of the frame model, the effect is in line with people's aesthetic standards: smoothness, skin texture and whiteness, and the corresponding face beautification frame model is proposed; the skin color area is roughly detected through the skin color information, and the skin color area is smoothed, fused, A series of operations such as whitening can beautify the face image, but due to the large number of parameter settings, it is difficult to target most face images, with high time complexity, it is difficult to achieve real-time automatic beautification of face images and videos

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