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arXiv · 1803.08326

Revisiting Gray Pixel for Statistical Illumination Estimation

Yanlin Qian·Said Pertuz·Jarno Nikkanen·Joni-Kristian Kämäräinen·Jiri Matas
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Abstract

We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering. The method, called Mean Shifted Grey Pixel -- MSGP, is based on the observation: true-gray pixels are aligned towards one single direction. Our solution is compact, easy to compute and requires no training. Experiments on two real-world benchmarks show that the proposed approach outperforms state-of-the-art methods in the camera-agnostic scenario. In the setting where the camera is known, MSGP outperforms all statistical methods.

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Yanlin Qian, Said Pertuz, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas. 2018-03-22. Revisiting Gray Pixel for Statistical Illumination Estimation. https://arxiv.org/abs/1803.08326

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