Image processing method, device and electronic equipment

Abstract

The present application discloses an image processing method, device and electronic equipment. The method includes: acquiring an image to be processed, wherein the image to be processed is a RAW image; according to the number of pixels with different brightness in the image to be processed Determine the threshold of the bright part and the threshold of the dark part; adjust the brightness of the image to be processed according to the threshold of the bright part and the threshold of the dark part respectively, correspondingly obtain the darkened map after the brightness is reduced and the brightened map after the brightness is increased; Image fusion is performed on the bright image, the darkened image and the image to be processed to obtain a target image. In the process of obtaining the target image, the dynamic information of the RAW image and the distribution characteristics of pixels with different brightness are fully utilized, so that an image with a high dynamic range suitable for the scene can be obtained.

Description

Image processing method, device and electronic device technical field The application relates to the technical field of image processing, in particular, to a kind of image processing method, device and electronic device [0001] ready. Background technique [0002] When taking pictures in a night scene, it is often prone to overexposure of bright parts, dead black parts of dark parts, and insufficient contrast. In order to solve the phenomenon of overexposure in bright parts, dead black in dark parts and insufficient contrast, HDR (High‑Dynamic Range, high dynamic range image) technology to acquire the image. When HDR technology obtains multiple exposure images, because of the The scene is ever-changing, and in the process of acquiring multi-exposure images, the most suitable exposure cannot be accurately obtained. In order to obtain better dynamic image effects under scenes (such as extremely low light), different scenes require different effects. It cannot be hand...

AI Technical Summary

Problems solved by technology

When HDR technology obtains multiple exposure images, because the scene of the photo is ever-changing, it is impossible to accurately obtain the most suitable exposure during the process of obtaining multiple exposure images. Therefore, in extreme scenes (such as extremely low light) in order to get better different image dynamic effects, different scenes require different effects, and the technology on the market cannot dynamically process to adapt to all situations

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