Edge-Based Color Constancy

By Joost van de Weijer, Theo Gevers, Arjan Gijsenij. IEEE Transactions on Image Processing, 2007

910 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/a6d1965711a09f4ef0e291c1a16f15ec61eec149

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In Atomic and Molecular Physics, and Optics

In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis (2017, methodology): “In this work, we estimate the illuminant on images from the training set applying the Shades of Gray color constancy technique [11], as implemented by the general color constancy framework described in [12].”
Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution. (2014, methodology): “We have compared our method with both non-learning-based methods (GW [2], WP [19], SoG [20], GGW [11], BP [31], GE1 [21], and GE2 [21]) and learning-based methods (PG [36], EG [36], IG [36], BL [40], ML [27], GP [27], and NIS [28]).”
Color Balance and Fusion for Underwater Image Enhancement (2018, methodology): “[40] further extends this Minkowski norm framework.”
Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light (2019, methodology): “The spatial domain methods include histogram equalization [27], the Gray World algorithm [28], contrast limited adaptive histogram equalization (CLAHE) [2], multiscale retinex with color restore [1], automatic white balance [29], and color constancy [30], [31].”
Enhancing underwater images and videos by fusion (2012, methodology): “The Grey-Edge hypothesis of Weijer and Gevers [29], similarly with Shades-of-Grey [12] can also be formulated by extending the p-th Minkowski form.”
Single Image Dehazing by Multi-Scale Fusion (2013, background): “In the last decades many white balancing approaches [34]–[38] have been proposed in the literature (a systematic overview of the existing methods is presented in [39]).”
STAR: A Structure and Texture Aware Retinex Model (2019, neutral): “Method White-Patch [13] Gray-Edge [56] Shades-Gray [55] MAE↓ 7.”
Color Constancy by Learning to Predict Chromaticity from Luminance (2015, methodology): “The author was supported by a gift from Adobe.”
Computational Color Constancy: Survey and Experiments (2011, neutral): “The incorporation of higher order image statistics (in the form of image derivatives) is proposed in [61], where a framework called gray edge is presented that incorpo-”