Camera focusing method and device, and camera

Abstract

The invention discloses a camera focusing method and device, and a camera. The camera focusing method and device are used for improving a focusing result of the camera. The method comprises the following steps: determining a detail region from a picture shot by the camera, wherein the detail region is a sub-region located by the details in the shot picture; setting a weight value of the detail region as a preset weight value, wherein the preset weight value is greater than the weight value of other region except the detail region; computing the definition of the shot picture based on the detail region and the preset weight value, and focusing according to the definition. Therefore, the detail region is determined from the picture shot by the camera, and then the weight of the detail regionis set as the maximum weight value in the current picture, so that the focusing result obtained through focusing can tend to the region located by the details, the picture fuzzy probability is reduced, and het focusing effect is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a camera focusing method, device and camera. Background technique [0002] At present, the camera is based on the sharpness evaluation value of the current picture to determine the motor travel position corresponding to the focus, so as to focus, so the accuracy of the sharpness evaluation value is closely related to the focusing effect. At present, the chips in cameras provided by most manufacturers only support the calculation of regional-level Auto Focus (AF) statistics, for example figure 1 As shown in , it is a schematic diagram of calculating region-level AF statistics for an image. Among them, the entire image is divided into 15*17 regions, and the definition evaluation value of each region is calculated through the definition evaluation function, and then weighted and summed to obtain the definition evaluation value of the entire image. Such as figure 1 As sho...

AI Technical Summary

Problems solved by technology

Because usually when the human eye is watching, the focus of the line of sight usually falls in the center of the line of sight, so the center weight mode is to expand the weight of the center area, so that the focus result is biased towards the objects in the middle area, but in fact the middle area may not be the detail area , so the resulting focusing effect may not be good; and the global weight mode is to maintain the AF statistical value trend of the original output of the chip, that is, each sub-region is treated equally, but this is easy to make many no-detail regions with bad statistical value curves Or the low signal-to-noise ratio area has a greater impact on the final focusing result, thus ignoring the real detail area, then the final focusing effect is not good.

[0004] It can be seen that in the prior art, in scenes with few details or low-illuminance scenes, the final focusing result may not match the focus of the real picture. experience

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