Color Homography
Graham D. Finlayson, Han Gong, Robert B. Fisher

TL;DR
This paper reveals that color changes under different viewing conditions can be modeled by a homography, enabling improved color correction over traditional linear methods.
Contribution
It introduces the concept of a homography for color correction across varying viewing conditions, which is a novel approach in the field.
Findings
Homography relates colors under different viewing conditions.
Homography-based correction outperforms linear least-square methods.
Provides a new framework for color consistency in imaging.
Abstract
We show the surprising result that colors across a change in viewing condition (changing light color, shading and camera) are related by a homography. Our homography color correction application delivers improved color fidelity compared with the linear least-square.
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Taxonomy
TopicsColor Science and Applications · Image Enhancement Techniques · Advanced Image Fusion Techniques
