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.

Active Publication Date: 2016-08-31
SHENZHEN INFINOVA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, both methods are difficult to adap

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  • Image strong light inhibition adaptation control method and device
  • Image strong light inhibition adaptation control method and device
  • Image strong light inhibition adaptation control method and device

Examples

Experimental program
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Effect test

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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Abstract

The invention provides an image strong light inhibition adaptation control method, comprising steps of obtaining a histogram of an image in a video, determining a preset exposure regulation value after marking the brightness state of the image through calculating through brightness area judging, brightness area proportion statistic, and calculation of a high brightness weight, an over-exposure weight, average brightness and weighting average brightness so as to perform additional exposure control and reduction exposure control on the image. The image strong light inhibition adaption control method and device improve an integral effect of the image and are applicable to adaptive exposure control of full-weather strong light scenes with various contrasts.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image strong light suppression adaptive control method and device. Background technique [0002] Due to the limitations of the electronic image sensor, the latitude of the acquired image is not high, that is, the level of light and dark differences that the picture can accommodate is not high, especially when the image contains a particularly strong light source (such as street lamps, the sun, etc.), it is limited by the latitude , the details of the image information obtained in the rest of the screen will become very poor. Especially for the security field, it is necessary to continuously acquire images for video. For example, strong light is common in road monitoring. It can be seen that for many image processing applications, the demand for strong light suppression is very strong. [0003] In the prior art, there are various strong light suppression means, for example, the...

Claims

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Application Information

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IPC IPC(8): H04N5/235
CPCH04N23/70
Inventor 杨兵李修新
Owner SHENZHEN INFINOVA
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