A method for self-adaptive exposure of short-wave infrared detector

Abstract

In order to solve the problems that the output image quality of the existing short-wave infrared adaptive exposure algorithm is poor, and the image sudden change and the image repeated oscillation will be caused when the exposure time slot is switched, the invention provides a method for self-adaptive exposure of a short-wave infrared detector, which comprises the following steps: 1) setting a target output gray value; 2) calculating a difference between the gray level statistical average value of the center area of a detector output image and a target output gray value; 3) according to the difference value, setting three judgment threshold values in the exposure increasing direction and the exposure decreasing direction respectively; 4) setting an exposure increasing direction threshold value and an exposure decreasing direction threshold value; 5) adjusting the exposure gain and the exposure time until the statistical average value of the gray level of the center region is equal to the target output gray level value. The exposure time change of the invention has three step lengths, the sudden change phenomenon of the image when the exposure time is adjusted can be effectively avoided; different judging grey thresholds can be utilized in adjustment in an exposure increasing direction and an exposure decreasing direction, which can effectively avoid repeated image oscillation during exposure adjustment.

Description

technical field [0001] The invention belongs to the field of short-wave infrared thermal imaging, and relates to an adaptive exposure method of a short-wave infrared detector. Background technique [0002] In the field of short-wave infrared thermal imaging, it is necessary to dynamically adjust the exposure time of the short-wave infrared detector according to the change of illumination in different scenes, so that the output image of the short-wave infrared detector is always in a suitable gray level. [0003] The adaptive exposure algorithms currently used by short-wave infrared detectors mainly include the average gray level adaptive exposure algorithm and the gray level histogram statistical adaptive exposure algorithm. [0004] The average gray scale adaptive exposure algorithm first calculates the gray average value of the current entire image, and compares the obtained gray average value of the current entire image with the set target gray value, thereby dynamically ...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the output image quality of the existing short-wave infrared adaptive exposure algorithm is poor, and it will cause image mutation and repeated image vibration when the exposure time is switched, the present invention provides a short-wave infrared detector adaptive exposure method, according to the detection The statistical average of the gray level in the center area of ​​the sensor output, adaptively adjust the gain and exposure time of the short-wave infrared detector

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