Method of estimating scene light source colors of color image

Abstract

The invention discloses a method of estimating scene light source colors of a color image. The method of estimating the scene light source colors of the color image comprises extracting color components in the image, calculating a component of single-antagonism color space, calculating a response value of a double-antagonism color space, transforming the double-antagonism color space into three primary color space and calculating light source colors in the three primary color space. Because the size and the amplitude value of a difference of Gaussian (DoG) filter are flexibly selected in the double-antagonism color space so as to simulate color sensitivity of a primary visual cortex and receptive field characteristics of a double-antagonism neuron, the light source color value of an image scene can be fast and efficiently calculated according to the method, and the scene light source color value finally acquired can be used for a plurality of follow-up computer visual applications such as tone correcting and white balance. The method of estimating the scene light source colors of the color image has the advantages of fast and efficiently working out information of the light source colors of the image of each scene through simple and flexible parameter selection.

Description

technical field [0001] The invention belongs to the technical field of computer vision and image processing, and in particular relates to scene light source color estimation of color images. Background technique [0002] In the natural environment, the human visual system has the ability to resist the color change of the light source in the scene. For example, for the same scene, whether it is illuminated by yellowish sunlight in the morning or reddish sunlight in the evening, the color of the scene perceived by our visual system remains constant. This ability is also called For the color constancy of the visual system. However, due to technical limitations, images captured by physical devices, such as cameras, often have serious color casts due to color changes of light sources in the scene. This color cast caused by the change of the light source color on the image recorded by the machine equipment will seriously interfere with various subsequent computer vision applicat...

AI Technical Summary

Problems solved by technology

However, this method is the same as some other learning-based methods for estimating the color of light sources in image scenes. The main disadvantage is that the calculation is complex and requires training. Applications on consumer cameras that require real-time processing, such as image tone correction, white balance

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