Image processing method, device and electronic device

Abstract

The embodiment of the invention discloses an image processing method, device and electronic equipment. An image processing method, comprising: collecting an image of a current scene to obtain a reference image of the current scene; dividing the reference image into a plurality of regions, obtaining brightness values ​​of each region respectively, and determining a light source of the reference image according to the brightness values ​​of each region Center position: The weight of each area is determined according to the distance from each area to the center of the light source, and / or the ratio of the brightness value of each area to the brightness value of the area where the center position of the light source is located. Through the above method, the embodiments of the present invention can suppress the exposure of bright areas and increase the exposure of dark areas, so as to improve the photosensitive uniformity of the image as a whole, thereby improving the quality of the image.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image processing method, device and electronic equipment. Background technique [0002] Camera exposure refers to the process in which the photosensitive element of the camera records the brightness information of the image according to the current ambient brightness when the camera is previewing or taking a picture. There are two types of exposure, automatic exposure and manual exposure compensation. Generally, electronic devices with camera functions generally adopt the method of automatic exposure by default, coupled with manual exposure compensation settings to adjust the exposure effect of the image, exposure compensation can enhance or reduce the brightness of the image as a whole. [0003] Generally, at noon or when there is a light source with relatively high light intensity, the brightness of the image will be lowered when taking pictures, resulting ...

AI Technical Summary

Problems solved by technology

However, when the multi-exposure method is used to obtain multiple images with different exposures, the exposure parameters of the image acquisition unit are randomly adjusted, but when there are fewer images with different exposures, the synthesized high dynamic range image cannot be very fast. Good reflection of the visual effects in the real environment. When there are many images with different exposures, the processing speed is slow and the user experience is not good.

Images