# Spatially varying white balancing for mixed and non-uniform illuminants

arXiv: https://arxiv.org/abs/2109.01350 · HTML: https://mlsanity.com/paper/2109.01350/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 21 references that are in the map.
- First posted on arXiv 3 Sep 2021.

## Builds on (most cited first, 6 of 6)

- [Deep White-Balance Editing](https://mlsanity.com/paper/2004.01354/) (2020)
- [What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance](https://mlsanity.com/paper/1912.06960/) (2019)
- [Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion](https://mlsanity.com/paper/1903.07428/) (2019)
- [Fast Soft Color Segmentation](https://mlsanity.com/paper/2004.08096/) (2020)
- [Multi-color balancing for correctly adjusting the intensity of target colors](https://mlsanity.com/paper/2102.01893/) (2021)
- [Multi-color balance for color constancy](https://mlsanity.com/paper/2105.10228/) (2021)

## Built on by (most cited first, 1 of 1)

- [Template matching with white balance adjustment under multiple illuminants](https://mlsanity.com/paper/2208.02035/) (2022)

## Abstract (arXiv)

In this paper, we propose a novel white balance adjustment, called "spatially varying white balancing," for single, mixed, and non-uniform illuminants. By using n diagonal matrices along with a weight, the proposed method can reduce lighting effects on all spatially varying colors in an image under such illumination conditions. In contrast, conventional white balance adjustments do not consider the correcting of all colors except under a single illuminant. Also, multi-color balance adjustments can map multiple colors into corresponding ground truth colors, although they may cause the rank deficiency problem to occur as a non-diagonal matrix is used, unlike white balancing. In an experiment, the effectiveness of the proposed method is shown under mixed and non-uniform illuminants, compared with conventional white and multi-color balancing. Moreover, under a single illuminant, the proposed method has almost the same performance as the conventional white balancing.