White balance processing device

Abstract

The invention discloses a white balance processing device. The processed image can not only ensure that the white part in the original image does not cast color, but also retain the brightness information of the white in the original image, and is easy to realize by using software or hardware circuits. The white balance processing device of the present invention includes a preprocessing module 11, which is used to convert the original image into an RGB format image, and estimates the color temperature of the original image; a white balance processing module 12, which is used to distinguish the color temperature of the RGB format image Whether the pixel is a white pixel or a non-white pixel, and then perform a white balance operation on the white pixel through the area ladder processing unit, and perform a white balance operation on the non-white pixel by using a color temperature parameter correction method; The processing module 13 is configured to remove noise points generated in the image processed by the white balance processing module 12 .

Description

technical field [0001] The invention relates to a white balance processing device, in particular to a white balance processing device capable of processing digital format images. Background technique [0002] White balance is a common technique in image processing. As we all know, the proportions of various color components in different light sources (such as sunlight, fluorescent lamps, incandescent lamps, etc.) are not the same. If these light sources are used to irradiate the same white paper, the components of various colors in the light reflected by the white paper will be different. For example, when using incandescent lighting, there will be more yellow components in the reflected light; when using fluorescent lighting, there will be more blue components. If you use a camera to shoot the white paper at this time, the resulting image will also be yellowish or bluish. Therefore, it is necessary to adjust the proportion of each color component in the image according to...

AI Technical Summary

Problems solved by technology

These methods only considered the characteristics of the image itself, but did not take into account the characteristics of the human eye when viewing the image: for the color part of the image, a small amount of color deviation is not easy to be noticed by people; , snowflakes, etc.), once there is a color deviation, people will easily feel

In practice, it is difficult to estimate the color temperature of the original image accurately. If the color temperature is directly used for white balance processing, it will often cause a color cast in the white part of the image, making the image look unreal

Some processing techniques use methods such as area subdivision and brightness subdivision to avoid this situation, but the processing process is often cumbersome.

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