Exposure adjusting method and device, and electronic equipment

Abstract

The embodiment of the invention provides an exposure adjustment method and a device, and electronic equipment, and the method comprises the steps: obtaining a target brightness queue corresponding toa target feature when the obtained current image comprises the target feature, and enabling the target brightness queue to comprise at least one target brightness sample; selecting a target photometryscheme from a plurality of preset photometry schemes according to the current image and the target brightness queue; judging whether a preset exposure adjustment condition is met according to the relationship between the average brightness value of the target brightness queue and an exposure adjustment threshold corresponding to the target photometry scheme; and if yes, performing exposure adjustment on the current image. According to the exposure adjusting method, the photometry scheme can be adaptively selected, and whether exposure processing needs to be carried out is judged according tothe photometry scheme, so that the adaptability of an exposure algorithm in a complex scene is effectively improved, and the exposure effect is improved.

Description

technical field [0001] The present invention relates to the technical field of video image processing, in particular to an exposure adjustment method, device and electronic equipment. Background technique [0002] With the wide application of face detection, face recognition and face capture technology, the face detection rate, recognition rate and face capture image effect are important indicators to measure this type of technology. The traditional face camera detects whether there is a face in the captured image, and then performs subject metering on the face area through the set face metering mode, and adjusts the exposure according to the metering result, thereby improving the face detection rate and recognition. Ratio, so that the face to achieve the best exposure. For scenes with uniform lighting, such as indoor lighting scenes, the traditional method is simple and effective and can meet the basic face capture effect, but if the camera is in a scene with uneven lighti...

AI Technical Summary

Problems solved by technology

For scenes with uniform lighting, such as indoor lighting scenes, the traditional method is simple and effective and can meet the basic face capture effect, but if the camera is in a scene with uneven lighting, such as a wide dynamic scene, there may be the following problems: ( 1) The outdoor light is strong or dim, and the face is completely overexposed or underexposed. At this time, the face cannot be detected, and the traditional face metering method will fail in this scene; (2) Outdoor overexposure , the room is dark, when a person walks from a dark place to a bright place, and then from a bright place to a dark place, the face will appear flickering, and vice versa. It is easy to repeatedly adjust the exposure in the scene, which greatly affects the exposure effect of the face capture and the overall image

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