White-dot area indicating and judging method

Abstract

The invention discloses a white-dot area indicating and judging method and belongs to the technical field of white balance calibration. The white-dot area indicating and judging method includes setting up a white-dot area; dividing the white-dot area by several polygons so as to form a standard white-dot area; indicating the standard white-dot area by several parallel line segments; matching points to be judged in images with the line segments in the standard white-dot area; judging whether white dots to be judged are white dots according to the matching results; judging whether all the dots to be judged in the images are judged or not, if not, returning and keeping judging, if yes, calculating white balance calibration parameters by white-dot values and calibrating the images. The white-dot area indicating and judging method has the advantages that the white-dot distribution area is more accurately located, a function for selecting the white-dot area according to needs is provided for users, using experience is improved, operating burden of calculation devices is alleviated, and operating efficiency of a camera is improved.

Description

technical field [0001] The invention relates to the technical field of white balance calibration, in particular to a method for representing and judging a white point area. Background technique [0002] When people are shooting real objects, they are often affected by the environment, which causes a certain color cast between the photo and the real object. The existence of color cast will distort the photo. For example, in the environment with tungsten lamp (such as light bulb) lighting, the photos taken may be yellowish. For photos with color cast, post-image processing technology can be used to restore its authenticity as much as possible, but the most effective way to avoid color cast is to perform white balance calibration during the shooting process, so as to eliminate the color cast phenomenon when shooting. [0003] The so-called white balance calibration, its basic concept means that no matter what the environment is, it can restore the original white object to whit...

AI Technical Summary

Problems solved by technology

[0007] 1) The selection of the white point area is not accurate:

[0008] The selection of the standard white point area in the prior art may include non-white points formed under certain color temperature environments (such as figure 1 The blank area between the points shown in ), resulting in deviation when judging the white point, which will eventually affect the accuracy of the white balance compensation value

At the same time, when the selected point samples for area division are too small (for example, a connection line of 20 points may be used to divide the area in the prior art), the white point formed under certain color temperature environments may not be included in the above-mentioned standard white point area Medium, that is, images captured in the above color temperature environment cannot be calibrated in the subsequent adjustment process

[0009] 2) The algorithm for white point determination is more complex and less efficient:

Therefore, it can be considered that the process of judging whether white balance adjustment is required in the above technical solution is the prior art, and of course it cannot solve the problems existing in the prior art

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