Image processing method, device and computing device for realizing face-thinning special effect

Abstract

The invention discloses an image processing method, device and electronic equipment for realizing the special effect of thinning the face, comprising: detecting multiple key points of a human face image; establishing a coordinate system to determine the coordinates of multiple key points and each pixel point; determining according to the coordinates The relative positional relationship between the pixel to be processed and multiple key points, and the compression factor for determining the coordinates of the pixel to be processed; convert the coordinates of the pixel to be processed to obtain the converted new coordinates, and determine the target pixel corresponding to the new coordinates ; Assign the pixel value of the target pixel to the pixel to be processed. It can be seen that, with the solution of the present invention, face thinning can be realized only according to the relative positional relationship between each pixel to be processed and a plurality of key points, and the algorithm is simple and easy to implement; and the face thinning processing of different pixel points to be processed is different. , so that the face image after the face-lifting process is more aesthetically pleasing; in addition, the face-lifting effect is automatically performed on the whole face image, so that the face-lifting effect is uniform and natural.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing method, device and computing device for realizing a face-thinning special effect. Background technique [0002] With the development of computer image processing technology, image beautification has become more and more convenient and popular. Among them, since in terms of modern aesthetic taste, a thinner face is generally considered to have a better aesthetic feeling, therefore, the face-slimming technology in image beautification has received widespread attention and favor from people. [0003] The existing face-lifting technology is either not highly automated and requires the user to manually specify the face-lifting position, and can only perform local face-lifting on the specified part, which is likely to cause uneven face-lifting effects and facial features deformation; or the pixel changes in the filled area after face-lifting large, making ...

AI Technical Summary

Problems solved by technology

[0003] The existing face-lifting technology is either not highly automated and requires the user to manually specify the face-lifting position, and can only perform local face-lifting on the specified part, which is likely to cause uneven face-lifting effects and facial features deformation; or the pixel changes in the filled area after face-lifting large, making the beautified image abrupt; or the complexity of the face-lifting algorithm is high, and it is difficult to implement the application

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