Background In computer vision, there are multiple calibration problems. The most
fundamental one is the camera calibration, which determines the intrinsic and extrinsic …

Many different descriptions of retinex methods of lightness computation exist. This paper
provides concise MATLAB implementations of two of the spatial techniques of making pixel …

We introduce a context for testing computational color constancy, specify our approach to
the implementation of a number of the leading algorithms, and report the results of three …

The paper considers the problem of illuminant estimation: how, given an image of a scene,
recorded under an unknown light, we can recover an estimate of that light. Obtaining such …

In this paper, we present a three-stage method for the estimation of the color of the illuminant
in RAW images. The first stage uses a convolutional neural network that has been specially …

For pt. I see ibid., vol. 11, no. 9, p. 972-84 (2002). We test a number of the leading
computational color constancy algorithms using a comprehensive set of images. These were …

In computational terms we can solve the color constancy problem if device red, green, and
blue sensor responses, or RGB's, for surfaces seen under an unknown illuminant can be …

This paper presents a negative result: current machine colour constancy algorithms are not
good enough for colour-based object recognition. This result has surprised us since we …

A neural network can learn color constancy, defined here as the ability to estimate the
chromaticity of a scene's overall illumination. We describe a multilayer neural network that is …

Auto white balance (AWB) is applied by camera hardware at capture time to remove the
color cast caused by the scene illumination. The vast majority of white-balance algorithms …