Automatic focusing method and system based on deep learning

An autofocus and deep learning technology, applied in the field of image processing, can solve the problems of multi-image, time-consuming focusing process, etc., to achieve the effect of improving speed, good focusing effect, and reducing the search range

Active Publication Date: 2022-07-15
深圳深知未来智能有限公司
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Problems solved by technology

[0009] In view of the above technical problems, the embodiment of the present invention provides an autofocus method and system based on deep learning, which can solve the technical problems in the prior art that the autofocus method based on digital images requires more images and the focusing process takes a long time

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  • Automatic focusing method and system based on deep learning

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Embodiment Construction

[0067] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present invention.

[0068] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0069] see figure 1 , figure 1 This is a schematic flowchart of an embodiment of an automatic focusing method based on deep learning in an embodiment of the present invention. like figure 1 shown, including:

[0070] Step S100, obtaining an out-of-focus image captured by a camera, and calculating the clarity of t...

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Abstract

The invention discloses an automatic focusing method and system based on deep learning, and the method comprises the steps: obtaining an out-of-focus image shot by a camera, and calculating the definition of the out-of-focus image according to a trained target deep learning model; a motor step number range is obtained, the moving step number of a motor is obtained according to the definition and the motor step number range, and the motor is used for driving a camera to move; controlling the motor to move for the first time according to the moving step number; and controlling the motor to move for the second time in a preset step number range, acquiring a target position corresponding to the highest definition of the image in the second moving process, and controlling the motor to move to the target position to complete automatic focusing. According to the embodiment of the invention, the motor can be quickly moved to the focusing position by using the predicted value of the network, so that the automatic focusing speed is greatly improved; the range of motor searching is reduced, a good focusing effect is shown in extremely dark and multi-light scenes, and the focusing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to an automatic focusing method and system based on deep learning. Background technique [0002] The automatic focusing method based on digital image processing needs to evaluate the sharpness of the current image according to the acquired image sharpness characteristic value, so as to infer the defocusing degree of the state of the imaging system. The purpose of auto-focusing is to find the accurate focus position according to the value of the focus evaluation function, so the focus evaluation function with good performance is very important to the auto-focusing process. The ideal focus evaluation function should have the properties of unbiasedness, unimodality, sensitivity, stability, real-time performance and wide coverage. Location; Unimodality requires that there is only one extreme point in the evaluation function; Sensitivity means that the slope of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232G06N20/00
CPCG06N20/00H04N23/67
Inventor 许心文黄政林郭奇锋
Owner 深圳深知未来智能有限公司
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