Improved image display by identifying the RGB family color space

TL;DR

This paper proposes a method to identify the color space of an image among five options using pixel embedding and Gaussian processes, addressing a common assumption in image display.

Contribution

It introduces a novel approach combining pixel embedding and Gaussian processes to accurately identify the image's color space from multiple options.

Findings

Effective identification of color space among five options

Supports Adobe RGB, Apple RGB, ColorMatch RGB, ProPhoto RGB, sRGB

Highlights the need for further research in color space identification

Abstract

To display an image, the color space in which the image is encoded is assumed to be known. Unfortunately, this assumption is rarely realistic. In this paper, we propose to identify the color space of a given color image using pixel embedding and the Gaussian process. Five color spaces are supported, namely Adobe RGB, Apple RGB, ColorMatch RGB, ProPhoto RGB and sRGB. The results obtained show that this problem deserves more efforts.