White balance processing method and video device

Abstract

The invention relates to a white balance processing method and relative video device. Wherein, it is characterized in that: the RGB color spatial image is converted into YCbCr color spatial image; according to the brightness and color of each pixel, deciding the gray color point; according to the gray color point, adjusting the color of pixel in the RGB color spatial image. The invention can avoid the defects of hand-operated white balance treatment, without changing the former color of scenery. The invention can obtain accurate judgment of gray color point, to obtain better white balance effect on the image frame. The inventive method can be used in whole image frame.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a white balance processing method and a video device based on the white balance processing. Background technique [0002] The visual color sensation caused by an object is mainly determined by the following three factors: [0003] 1) The property of the object surface to reflect the irradiated light to the space, which depends on the chemical structure and composition, surface physics and surface geometric characteristics of the object surface. [0004] 2) The nature of the lighting source, that is, the wavelength composition characteristics of the light source, the energy distribution of light energy within the relevant visual band range, and the color temperature of the light source in terms of the chromaticity quality of the light source. [0005] 3) The color-sensing ability of the eyes is mainly determined by the light-sensing ability of the optic nerve system on t...

AI Technical Summary

Problems solved by technology

[0035] The two implementations of the local white balance method in method three also have the problem that they are easily affected by the color of the scene in the image. For example, when there is no white in the entire image, the local white balance calibration method in method one will fail

The local white balance calibration method of the second method is a simple improvement to the global white balance method, and it does not fundamentally solve the influence of large color blocks on the image color, and the automatic white balance algorithm of the second method often assumes one or more These areas are used as the key areas of the entire image. When performing white balance, these areas are considered, which limits the versatility of the automatic white balance algorithm.

[0036] To sum up, the existing white balance processing methods have problems such as inconvenient use, time-consuming and laborious, poor accuracy in determining gray color points, poor applicability, etc., which make the white balance effect poor and eventually lead to poor video image quality

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