In this paper, we describe a new large dataset for illumination estimation. This dataset,
called INTEL-TAU, contains 7022 images in total, which makes it the largest available high …

Artificial lights, which are powered by alternating current (AC), are ubiquitous nowadays.
The intensity of these lights fluctuates dynamically depending on the AC power. In contrast …

Estimating the illuminant from a color-biased image is an ill-posed problem without prior
information or invariance about the surfaces of a scene. Based on the classical image …

The dichromatic reflection model has been popularly exploited for computer vison tasks,
such as color constancy and highlight removal. However, dichromatic model estimation is an …

Abstract Burst Color Constancy (CC) is a recently proposed approach that challenges the
conventional single-frame color constancy. The conventional approach is to use a single …

With the invention of electric bulbs, human has been living under various illuminant
environments. Since the alternative current (AC) power is used for supplier of electric bulbs …

In this paper, we present Point Cloud Color Constancy, in short PCCC, an illumination
chromaticity estimation algorithm exploiting a point cloud. We leverage the depth information …

Temporal Automatic White Balance (TAWB) corrects the color cast within each frame, while
ensuring consistent illumination across consecutive frames. Unlike conventional AWB, there …

Intrinsic image decomposition assumes that the observed color image can be decomposed
into reflectance and illumination. It is beneficial for understanding the physical world, but a …

This paper proposes to utilize deep spatio-spectral features for color constancy, while most
conventional methods focus on only spatial information of RGB images. We propose a novel …