通过像素嵌入与高斯过程识别图像颜色空间，提升显示准确性

Improved image display by identifying the RGB family color space

• 用像素嵌入+高斯过程分析图像颜色分布
• 支持5种常见颜色空间，识别准确率显著优于传统方法
• 适合图像处理、数字媒体领域研究者参考

图像显示时通常假设其编码颜色空间已知，但这一假设在现实中很少成立。本文提出一种基于像素嵌入与高斯过程的颜色空间识别方法，可识别sRGB、Adobe RGB、Apple RGB、ColorMatch RGB和ProPhoto RGB五种常用颜色空间。实验结果表明该问题值得深入研究，且所提方法在多种图像数据上表现出良好识别性能，为自动图像渲染提供了可靠依据。

原文摘要 · Abstract (English)

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.

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