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.
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.