Colour camera automatic white balance processing method and device under low illumination

Abstract

The invention discloses a colour camera automatic white balance processing method and device under low illumination. The method comprises the following steps: the mapping relationship table of exposure parameters of images, the environment infrared light intensity and infrared light image intensity estimated values is obtained through training; an image to be processed is acquired and the exposure parameters corresponding to the image are acquired, the current environment infrared light intensity information is detected on a real-time basis, and the current infrared light image intensity estimated value is acquired according to the exposure parameters, the environment infrared light intensity information and the mapping relationship table; the infrared influence removing process is performed on the image to be processed according to the current infrared light image intensity estimated value; and white balance correction is performed on the processed image obtained through the infrared influence removing process. By adopting the method and device of the invention, the chromatic aberration problem caused by the reason that correction cannot be performed effectively due to the influences of infrared light in the automatic white balance process under the low illumination condition can be avoided to make a color image having the advantage of high quality still can be obtained under low illumination.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an automatic white balance processing method and device for a color camera under low illumination. Background technique [0002] Generally, video camera equipment such as a digital video camera and a digital still camera generally include: an optical lens, an image sensor, an image processing chip, an image transmission module, and an image display module. [0003] As we all know, objects of the same color will appear in different colors under the illumination of different light sources. For example, a gray object will appear yellow when illuminated by an incandescent lamp, and it will appear blue when illuminated by a cold light source. Since the human eye has an automatic color adjustment function based on such an environment, the human eye can restore the essential color of an object under different light sources. However, in such an environment, the output color aft...

AI Technical Summary

Problems solved by technology

[0004] In a low-light environment, compared with the intensity of infrared light, the intensity of visible light is weak. When a color camera is imaging, if the image sensor receives both the infrared light band and the visible light band at the same time, the red light band in the obtained image will be larger than the normal value, making the output image overall Reddish; if the infrared light band is filtered out, the amount of incoming light will be reduced and the brightness of the image will be reduced, which will lead to an increase in the exposure parameters in the image processing chip, thereby increasing the noise

In the former case, a common solution is to discard the color information of the image and output a black and white image; in the latter case, it is not feasible due to poor imaging quality

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