Image processing method, device and electronic equipment

Abstract

The disclosure discloses an image processing method, device, electronic equipment and computer-readable storage medium. Wherein the image processing method includes: obtaining an original image; performing a first processing on the original image to obtain a first processing result; performing a second processing on the original image to obtain a second processing result; performing a second processing on the first processing result to obtain The third processing result; obtain the fourth processing result according to the second processing result and the third processing result; acquire the control coefficient; process the original image according to the second processing result, the fourth processing result and the control coefficient to obtain the processed image. The embodiment of the present disclosure solves the technical problem in the prior art that the image processing method is single and the control coefficients are complicated by performing multiple processing on the original image and using the control coefficient and the result of multiple processing to process the original image.

Description

technical field [0001] The present disclosure relates to the field of image processing, and in particular to an image processing method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] With the development of computer technology, the application range of smart terminals has been widely improved, such as listening to music, playing games, chatting on the Internet, and taking pictures through smart terminals. For the camera technology of smart terminals, its camera pixels have reached more than 10 million pixels, with high definition and camera effects comparable to professional cameras. [0003] At present, when using a smart terminal to take pictures, not only can use the built-in camera software at the factory to realize the traditional function of taking pictures, but also can realize the taking pictures with additional functions by downloading an application program (Application, referred to as: APP) from the network. , s...

AI Technical Summary

Problems solved by technology

[0004] Most of the current microdermabrasion processes use blurring techniques such as Gaussian filtering to blur the image, but for human faces, this blurring process will also blur the hairy face areas such as eyebrows and eyelashes. In fact, these areas should not be blurred, so the processing method is relatively simple; and traditionally, skin resurfacing generally uses bilateral filtering, which is essentially a combination of spatial Gaussian filtering and range Gaussian filtering. Therefore, when using it, it is necessary to specify the variance coefficients of the two Gaussian filters at the same time, the parameters are more complicated, and it is inconvenient to control and adjust the effect of microdermabrasion

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