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arXiv Computer Vision By SaiKiran Tedla, Joshua E. Little, Hakki Can Karaimer, Michael S. Brown

Off the Planckian Locus: Using 2D Chromaticity to Improve In-Camera Color

Read the original on arXiv Computer Vision →

The paper proposes replacing traditional one-dimensional correlated color temperature (CCT) interpolation with a two-dimensional chromaticity approach for in-camera colorimetric mapping. By training a lightweight multi-layer perceptron (MLP) on a lightbox calibration that includes representative LED sources, the method achieves a 22% average reduction in angular reproduction error across diverse LED lighting. It remains compatible with conventional illuminants, handles multi-illuminant scenes, and can be deployed in real time with minimal computational overhead.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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