Image processing method and device

Abstract

The invention relates to the information processing technology, in particular to an image processing method and device. The method includes the first step of converting an image to a gray image, obtaining the sum of variance of pixel points in a region formed by first preset values and second preset values according to the gray value of the gray image, wherein the pixel points of a human face skin region in the gray image extend in the positive direction and negative direction of x-axes of the pixel points to obtain the first preset values, and the pixel points of the human face skin region in the gray image extend in the positive direction and negative direction of y-axes of the pixel points to obtain the second preset values, the second step of obtaining a dermabrasion weight value according to the sum of variance in the human face skin region, the third step of regulating the gray value of the gray image according to the dermabrasion weight value, and the fourth step of finally converting the gray image to a color image according to the regulated gray value to achieve processing of the image. Through the method, the image is converted to the gray image, and the gray value of the image is regulated and the image is processed according to the sum of variance of the pixel points in the human face skin region, so that processing speed and the quality of the processed image are both enhanced.

Description

technical field [0001] The present invention relates to information processing technology, in particular to an image processing method and device. Background technique [0002] With the development and perfection of image processing technology, image processing technology is getting more and more attention. For image processing technology, the improvement of image quality and the speed of image processing are often two aspects that are more concerned in the image processing process. For example, a portrait in a photo is processed to achieve a beautifying effect. The processing of portraits generally focuses on the processing of the skin area of ​​the face. [0003] In the prior art, the image processing technology used to process the face skin area in the photo often uses three channels of the image of the face skin area in the photo, the red channel, the blue channel and the green channel. Further, the processing of the human face skin area is realized. [0004] Althoug...

AI Technical Summary

Problems solved by technology

[0004] Although the existing image processing technology can realize the processing of the photo and the face skin area in the photo, since the three channels of the image of the face skin area in the photo are directly processed separately, the calculation amount is relatively large, and the mobile terminal, etc. Slower when implemented on devices with lower configuration

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