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Modeling Image Tone Dichotomy with the Power Function
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AI
DOI：10.1016/j.apm.2025.116538.png)
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Abstract
En 中文
• This article introduces the mathematical concept of tone dichotomy. • Results provide tools with practical implications for image processing and analysis. • We extend image tone dichotomy to multiple images, creating dichotomy space. • Examples show results on underexposed, overexposed, and a combination of both cases. • Comparison with LLIE methods provides evidence of the method’s value.
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