Image processing method and device, and electronic equipment

Abstract

The embodiments of the invention disclose an image processing method and device and electronic equipment. The image processing method comprises the steps of performing image acquisition on a current scene to obtain a reference image of the current scene; dividing the reference image into a plurality of areas, and respectively obtaining the brightness values of all the areas, and determining a light source center position of the reference image according to the brightness value of each region; and determining the weight of each area according to the area distance from each area to the light source center position and / or the ratio of the brightness value of each area to the brightness value of the area where the light source center position is located. By means of the embodiments of the present invention, bright region exposure can be inhibited and dark region exposure can be increased, so that photosensitive uniformity of the image is integrally improved, and the image quality is improved.

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.

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