Face image enhancement method, device and system and storage medium

Abstract

The invention provides a face image enhancement method, device and system, and a storage medium. The method comprises the steps: performing face detection on an original image to obtain a face detection frame; determining three-dimensional face information corresponding to the face image in the face detection frame according to the face detection frame and the three-dimensional face model; processing the face image in the original image based on the original image and the face three-dimensional model. The face three-dimensional information can be fully utilized, the accuracy of image processing is improved, and face distortion blur can be greatly reduced through image processing of the original image, and the image processing effect can be improved. According to the method, the device andthe system and the storage medium, the face image in the original image is processed based on the original image and the face three-dimensional model, the face three-dimensional information can be fully utilized, the accuracy of image processing is improved, and the face distortion blur can be greatly reduced through image processing of the original image and the image processing effect can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and more particularly to processing based on human face image enhancement. Background technique [0002] Face fusion refers to the fusion of multiple frames of face information to obtain face enhancement results with more information, including reduced noise, improved resolution, and richer details. The existing face fusion methods are all based on the RGB image processed by the image signal processor (isp), and the RGB image processed by the isp has lost a lot of information. In addition, the existing methods do not consider the shape and expression information of the original face, which will lead to the fusion of the face and the person due to the influence of factors such as face shape and expression, resulting in face distortion, or due to incorrect pose estimation. , resulting in an error in the fused face. [0003] Therefore, the face fusion technology in the prior art h...

AI Technical Summary

Problems solved by technology

The existing face fusion methods are all based on the RGB image processed by the image signal processor (isp), and the RGB image after the isp has lost a lot of information

In addition, the existing methods do not consider the shape and expression information of the original face, which will lead to the fusion of the face and the person due to the influence of factors such as face shape and expression, resulting in face distortion, or due to incorrect pose estimation. , resulting in an error in the fused face

[0003] Therefore, the face fusion technology in the prior art has the problem that too much information is lost before fusion, and the face is distorted and blurred after fusion.

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