Color Visual Illusions: A Statistics-based Computational Model

• URL: http://arxiv.org/abs/2005.08772v2
• Date: Thu, 22 Oct 2020 10:45:03 GMT
• Title: Color Visual Illusions: A Statistics-based Computational Model
• Authors: Elad Hirsch, Ayellet Tal
• Abstract summary: We introduce a tool that computes the likelihood of patches, given a large dataset to learn from. We present a model that explains lightness and color visual illusions in a unified manner. Our model generates visual illusions in natural images, by applying the same tool, reversely.
• Score: 20.204147875108976
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Visual illusions may be explained by the likelihood of patches in real-world images, as argued by input-driven paradigms in Neuro-Science. However, neither the data nor the tools existed in the past to extensively support these explanations. The era of big data opens a new opportunity to study input-driven approaches. We introduce a tool that computes the likelihood of patches, given a large dataset to learn from. Given this tool, we present a model that supports the approach and explains lightness and color visual illusions in a unified manner. Furthermore, our model generates visual illusions in natural images, by applying the same tool, reversely.

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