Color Homography

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.