Evaluation of classic colour constancy algorithms on spectrally rendered ground-truth.

IF 1.6 4区 心理学 Q3 OPHTHALMOLOGY
Perception Pub Date : 2025-07-01 Epub Date: 2025-06-16 DOI:10.1177/03010066251345871
Matteo Toscani, Tao Chen, Giuseppe Claudio Guarnera
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引用次数: 0

Abstract

The limited availability of spectral images poses a significant challenge to the field of colour science. To address this issue, we spectrally rendered naturalistic images, enabling us to investigate the performance of classic colour constancy algorithms, including Grey-World, White-Patch, Grey-Edge, Shades-of-Grey, and Gamut-Mapping. We generated 4,096 physically based rendered scenes under different coloured illuminations, including a spectrally neutral illumination. We evaluated each algorithm by (1) comparing the illuminant estimated by the algorithm with the actual illuminant used for rendering and (2) assessing the performance based on the entire scene rendered under the neutral illuminant. The White-Patch algorithm consistently performed relatively well, while Gamut-Mapping emerged as the top-performing algorithm when evaluating the whole scene. However, it exhibited poor performance in estimating the ground-truth illuminant. We conducted a perceptual experiment to measure human colour constancy across a representative selection of scenes from our database using an asymmetric colour matching task. The results indicated that predictions from the algorithms that performed best when evaluated on the whole scene - white patch and gamut mapping - best approximate human performance. Indeed, the function of colour constancy is to stabilise the colour of all surfaces in a scene, rather than to estimate the colour of the illumination.

光谱渲染地面真值的经典颜色恒常性算法评价。
光谱图像的有限可用性对色彩科学领域提出了重大挑战。为了解决这个问题,我们用光谱渲染自然主义的图像,使我们能够研究经典的色彩恒常性算法的性能,包括灰世界、白斑、灰边缘、灰色阴影和色域映射。我们在不同颜色的照明下生成了4,096个基于物理的渲染场景,包括一个光谱中性的照明。我们通过(1)将算法估计的光源与用于渲染的实际光源进行比较,(2)基于在中性光源下渲染的整个场景评估性能来评估每种算法。White-Patch算法一直表现相对较好,而Gamut-Mapping算法在评估整个场景时表现最好。然而,它在估计地真光源方面表现出较差的性能。我们进行了一项感知实验,通过使用不对称颜色匹配任务,从数据库中选择有代表性的场景来测量人类的颜色稳定性。结果表明,当对整个场景进行评估时,来自算法的预测效果最好-白色斑块和色域映射-最接近人类的表现。事实上,色彩恒常性的功能是稳定场景中所有表面的颜色,而不是估计照明的颜色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Perception
Perception 医学-心理学
CiteScore
2.80
自引率
5.90%
发文量
74
审稿时长
4-8 weeks
期刊介绍: Perception is a traditional print journal covering all areas of the perceptual sciences, but with a strong historical emphasis on perceptual illusions. Perception is a subscription journal, free for authors to publish their research as a Standard Article, Short Report or Short & Sweet. The journal also publishes Editorials and Book Reviews.
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