Image strong light inhibition adaptation control method and device
A technology of adaptive control and strong light suppression, which is applied in the field of image processing and can solve problems such as difficulty in adapting to all-weather application environments.
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Embodiment 1
[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.
Embodiment 2
[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...
Embodiment 3
[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] l i g h t _ a v e = ( Σ 1 256 H i s t ( i ) * i ) / Σ 1 256 H i s t ( i )
[0092] l i g h t _ a v e _ w t = ( Σ ...
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