Face key point-based automatic under-eye bag removing method and system

Abstract

The invention belongs to the image processing field and includes a face key point-based automatic under-eye bag removing method and system. The method includes the following steps that: an input image is obtained; the masking-out image and under-eye bag area image of the under-eye bag area of the input image are extracted; the under-eye bag area image is transformed to an LAB color space, and a color channel L, a color channel A and a color channel B are separated out; a brightness adjustment curve is obtained through calculation based on the channel L; the channel L is mapped by the brightness adjustment curve, so that a new channel L is obtained; the new channel L, the channel A and the channel B are converted into an RGB color space image; Gaussian blur is performed on the masking-out image of the under-eye bag area, so that a new masking-out image can be obtained; the under-eye bag area image, the RGB color space image and the new masking-out image are composited, so that a new under-eye bag area image can be obtained; and the under-eye bag area image is replaced by the new under-eye bag area image, so that a final image can be obtained. With the face key point-based automatic under-eye bag removing method and system of the invention adopted, the removal of under-eye bags can be completed through one-key operation. The method is simple and stable, and the effect of an image processed by using the method is natural.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an automatic method and system for removing eye bags based on key points of human faces. Background technique [0002] In recent years, with the advancement of technology, mobile devices such as smartphones and tablets have become indispensable digital entertainment tools for people. With the rise of smart devices, the demand for beautifying selfies is also increasing, and the function of removing bags under the eyes is sought after by the majority of female users. [0003] At present, the commonly used method is to manually tap the screen, and use fingers to tap the screen to specify the area to be removed and perform a brightening operation. In the process of using this method, it is often necessary to perform the eye bag removal operation again due to misoperation, which makes the process of eye bag removal very complicated, and it is impossible to accurately locate ...

AI Technical Summary

Problems solved by technology

In the process of using this method, it is often necessary to perform the eye bag removal operation again due to misoperation, which makes the process of eye bag removal very complicated, and it is impossible to accurately locate the eye bag area, and there is the influence of isolated noise, which will cause loss to the color of the original image. Makes the beautified image look very unnatural

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