Pixel-Wise Color Constancy Via Smoothness Techniques In Multi-Illuminant Scenes

Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Most scenes are illuminated by several light sources, where the traditional assumption of uniform illumination is invalid. This issue is ignored in most color constancy methods, primarily due to the complex spatial impact of multiple light sources on the image. Moreover, most existing multi-illuminant methods fail to preserve the smooth change of illumination, which stems from spatial dependencies in natural images. Motivated by this, we propose a novel multi-illuminant color constancy method, by learning pixel-wise illumination maps caused by multiple light sources. The proposed method enforces smoothness within neighboring pixels, by regularizing the training with the total variation loss. Moreover, a bilateral filter is provisioned further to enhance the natural appearance of the estimated images, while preserving the edges. Additionally, we propose a label-smoothing technique that enables the model to generalize well despite the uncertainties in ground truth. Quantitative and qualitative experiments demonstrate that the proposed method outperforms the state-of-the-art.
Original languageEnglish
Title of host publication2024 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages2737-2743
ISBN (Electronic)979-8-3503-4939-9
DOIs
Publication statusPublished - 2024
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Image Processing - Abu Dhabi, United Arab Emirates
Duration: 27 Oct 202430 Oct 2024

Publication series

NameProceedings : International Conference on Image Processing
ISSN (Electronic)2381-8549

Conference

ConferenceIEEE International Conference on Image Processing
Country/TerritoryUnited Arab Emirates
City Abu Dhabi
Period27/10/2430/10/24

Publication forum classification

  • Publication forum level 1

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