Automatic focusing processing method of photographic equipment

Abstract

The invention discloses an automatic focusing processing method of a piece of photographic equipment. The method comprises following steps of a, obtaining an object distance interval according to an initial zooming multiple and an initial focusing location in combination of at least two pre-stored zooming tracking curves; b, obtaining stored preset data information from a storage unit through the obtained object distance interval; obtaining the range data information of a focusing location; c, processing a mapping relation of the object distance interval obtained in the step a and the data information obtained in the step b, thus obtaining processed data; and d, comparing the processed data in the step c with the initial data, thus obtaining a current focusing location, thus realizing automatic focusing. The method provided by the invention has the advantages that the object distance interval is obtained by adopting a mode of combining the initial zooming multiple and the initial focusing location; the data are obtained through processing the mapping relation; the automatic focusing is realized; and the method is simple and reliable and has convenient and fast operation and high stability.

Description

technical field [0001] The invention relates to a focusing processing method, in particular to an automatic focusing processing method of an imaging device. Background technique [0002] The traditional auto-focus technology is divided into two types: active and passive. Active auto-focus uses infrared or ultrasonic waves to measure the distance between the camera and the object, thereby adjusting the focal length position; The focus position is adjusted by electronic detection. [0003] With the development of digital image processing technology, more and more autofocus devices rely on image processing algorithms instead of active ranging methods. Image processing theory believes that the focusing system of the lens is equivalent to a low-pass filter, and the cutoff frequency of the filter is determined by the current image distance and the focal length of the lens. Therefore, the sharpness of the current image can be judged by extracting the high-frequency components of ...

AI Technical Summary

Problems solved by technology

Compared with the automatic focus of ordinary cameras, cameras, especially cameras for video surveillance, have higher requirements for focusing speed and precision. This is because the scene changes complex and the optical zoom speed is fast. If the focusing speed is slow or the precision is low, the captured The visual effect of video images is poor or mostly blurred images, which have great limitations in video surveillance

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