Automatic white balance processing method and device for large scene range

Abstract

The invention discloses an automatic white balance processing method and device for a large scene range. The method comprises the following steps: acquiring image data; dividing the image data into aplurality of equal modules; calculating the average entropy of the image data and the entropy of each block of the plurality of equally-divided modules; calculating a weighted gray value of the imagedata according to the average entropy and the entropy of each block; and performing white balance processing on the image data according to the weighted gray value. A color temperature sensor does notneed to be added or a filter does not need to be added in the camera, use of software resources can be reduced while hardware cost is reduced, and cost is saved. Compared with a traditional correction mode, the method used by the invention still has a relatively good effect in a scene with a single color, and the image color can be correctly restored when the illumination is low or the exposure is abnormal.

Description

technical field [0001] The invention relates to the field of imaging technology, in particular to an automatic white balance processing method and device for a large scene range. Background technique [0002] White balance is an indicator of the accuracy of white formed by mixing the three primary colors of red, green, and blue. Due to the unique adaptability of the human eye, the discrimination of the color of things will not be affected by changes in the external environment, but the image sensor does not have this feature, and has undergone photoelectric signal conversion and analog-to-digital signal conversion during the imaging process. , software algorithms and a series of complex processing, the color of the image will inevitably be affected by the sensor itself or external factors, making the color of the image distorted. When the color temperature changes, the color of the collected image will also change accordingly. A phenomenon of color cast occurs. [0003] Th...

AI Technical Summary

Problems solved by technology

However, due to the problem of unreliable color temperature data detected by the sensor used to collect color temperature data in the traditional method, the color reproduction of the subject is not accurate enough

At the same time, the method of adding sensors cannot be used in the current scenarios related to embedded front-end machine vision.

Or it is necessary to add a filter to the camera by comparing a frame of image that passes the filter with an image that does not pass the filter to calculate the current color temperature value and then calibrate it, which increases the hardware cost

[0004] The traditional method of not adding a color temperature sensor or filter is mainly realized by two traditional algorithms: the gray world method will lose its effect in a scene with a single color; correct restoration

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