Image definition detection method and device and test equipment

Abstract

The invention discloses an image definition detection method. The image definition detection method comprises the following steps: acquiring image data, wherein the image data are output by a camera module according to a preset exposure gain parameter; acquiring gray values of the image data according to image data formats of the image data; calculating a mean value and a mean square error of the acquired gray values, and acquiring a maximum gray mean value and a minimum gray mean value according to the mean value and the mean square error; and calculating image definition according to the maximum gray mean value and the minimum gray mean value in order to perform image definition detection by comparing the image definition with a preset threshold value. The invention also discloses an image definition detection device which is matched with the image definition detection method, and test equipment. Through adoption of the image definition detection method and device and the test equipment, the discreteness of the image definition can be reduced, and the consistency of the camera module is improved.

Description

technical field [0001] The invention relates to the technical field of camera module testing, in particular to an image clarity detection method, device and testing equipment. Background technique [0002] Camera modules on the market usually include: lens, infrared filter, image sensor and circuit board. An important part of the camera module factory in the production of the camera module is to adjust the focus of the camera module, so that the image clarity of the image data output by the camera module can reach the best state through focusing. [0003] However, the traditional image clarity detection method is to judge whether to continue to focus on the camera module by observing whether the image output by the camera module is clear or not with the naked eye. As the resolution of the camera module becomes higher and higher, the visual judgment will lead to an increasing dispersion of image clarity, and misjudgment of image clarity is prone to occur, thereby reducing th...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional image clarity detection method is to judge whether to continue to focus on the camera module by observing whether the image output by the camera module is clear or not.

As the resolution of the camera module becomes higher and higher, the naked eye judgment will lead to more and more discrete image definition, and it is easy to misjudge the image definition, which will reduce the consistency of the camera module, and even due to the Defective products of the module flow into the next production link, resulting in a decrease in the quality of the camera module, and a high defect rate of the product, causing huge economic losses to customers

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