Image strong light suppression adaptive control method and device

[0079] In the above, in the step S1, the images include multiple images, and the multiple images are continuously / interval acquired from the video.

[0080] In this embodiment, the source of the images may be continuous images in the video, or images at intervals. For the case of continuous images, image adjustment is the most real-time, but requires higher hardware resources and costs more. After trial and error, the discriminative exposure control of the present invention can also achieve a better balance of hardware cost and effect by acquiring images from video at intervals.

[0082] In the above, in the step S6,

[0083] The calculation of the overexposure weight includes the steps of,

[0084] S61) Judging whether the proportion of the high-brightness area meets the preset range, if yes, go to step S62, otherwise go to step S63;

[0085] S62) Pass the formula: overexposure weight=32×e (-过曝区域占比 / 2) Calculate the overexposure weight;

[0086] S63) If it is judged that the proportion of the high-brightness area is lower than the preset range, the lower limit of the preset range is used as the overexposure weight; the proportion of the high-brightness area is lower than the preset range, and the upper limit of the preset range is used as the overexposure weight Weights.

[0087] This embodiment provides an optimization solution for calculating the overexposure weight by judging details. In this solution, firstly, judge whether the proportion of the identified high-brightness area of ​​the screen meets the preset range. If it meets the calculation f...

[0089] In the above, the step S2 obtains the histogram Hist[256] of the image;

[0090] The average brightness light_ave and weighted average brightness light_ave_wt in the step S7 are calculated by the following formula:

[0091]

[0092]

[0093] In the formula, i is the gray value in the histogram.

[0094] This embodiment provides a method for calculating the average luminance and the weighted average luminance, which the applicant found through a large number of experiments to be simple and accurate.

[0095] The present invention also provides an image strong light suppression adaptive control device, comprising

[0096] The obtaining module is used to obtain at least one frame image in the video, and then transfers to the histogram module;

[0097] The histogram module is used to obtain the histogram of the image and then go to the region segmentation module;

[0098] The area segmentation module is used to divide the brightness of each area of ​​the image into...