Self-adaptive color correction method

Abstract

The invention provides a self-adaptive color correction method, which comprises the following steps of: acquiring data of a YCbCr space of an acquired video image, screening pixels to establish a white region model, performing validity detection on image data in a white region, and calculating a correction factor in a self-adaptive manner through a circulation module; and each frame of image datastream is subjected to color correction processing by adopting the correction factor obtained by calculating the previous frame. According to the invention, the aerial camera image color correction can be completed without storing image frames, the processing speed is improved, the resource consumption and the processing speed reach a higher level, the system acquired image color correction can beconveniently, quickly and efficiently completed, and the processing efficiency of the aerial camera image color correction is improved. The invention can be widely applied to a large-view-field and high-resolution aerial camera system, and has a wide application prospect.

Description

technical field [0001] The invention relates to the field of computer vision color correction, in particular to a color correction method. Background technique [0002] The concept of color temperature is introduced to measure the spectral composition of the light source. Color temperature describes the spectral properties of light radiated by a "black body" with a certain surface temperature. The spectral characteristics are different from each other under different light sources or weather conditions. The higher the color temperature, the more blue the spectrum; the lower the color temperature, the redder the temperature. The human eye is not sensitive to the change of the color temperature of the light source, because the human eye has greater adaptability to the color, which is called color constancy. However, the image acquisition system itself does not have this feature and requires color correction image processing. [0003] The YCbCr color space has a composition...

AI Technical Summary

Problems solved by technology

[0004] The traditional color correction method has a narrow application range. When certain conditions are not met, the color correction effect will become unsatisfactory

Although some other methods have ideal processing results for different types of color cast images, they require complex calculation processes, high computational complexity, and hardware circuit resource consumption is large during hardware implementation and real-time performance cannot be guaranteed.

Images