A video image processing method and device

Abstract

Embodiments of the present invention disclose a video image processing method and equipment, wherein the implementation of the method includes: obtaining a video image, which belongs to an image in a brightness and chroma YUV video stream; determining the blue chroma in the video image component U and red chroma component V, and determine the skin color of the face in the video image based on the U and V; perform skin resurfacing processing on the video image based on the brightness component Y of the video image and the skin color, The skin tone is used to adjust the tone of the image after the microdermabrasion process, and the tone-adjusted image is output. Based on the continuity characteristics of video images, the face in the video image is image optimized, and the background quality of the video image can be adjusted, thereby improving the video image quality.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a video image processing method and equipment. Background technique [0002] During a real-time video call or live video broadcast, it is necessary to collect video images in real time to form a video; after the image is collected, it will be sent to the video player through the network. In this process, there may be various defects in the video image, mainly including the following three aspects: [0003] 1. Flaws on the face itself, such as small spots; this will have a bad impact on the overall aesthetics of the person. [0004] Second, human skin does not look so healthy. [0005] 3. The impact of light and other environmental factors on the image. For example, when the ambient light is too dark, the overall image will be too dim, resulting in unclear faces. [0006] Based on the above problems that affect the quality of the video image, if the video image can be optimiz...

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Problems solved by technology

[0005] 3. The impact of light and other environmental factors on the image, for example: when the ambient light is too dark, the overall image will be too dim, resulting in unclear faces

[0007] At present, for the video image processing results, especially for the video image processing results in the real-time communication neighborhood, there are problems such as background blur, rough faces, and poor lighting environment quality.

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