Joint luminance-chrominance learning for quality assessment of low-light image enhancement

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DOI:10.1016/j.patcog.2025.112395
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1016/j.patcog.2025.112395

Elsevier

Abstract：Existing methods for low-light enhancement quality assessment (LEQA) often underperform across diverse scenarios. One reason is that most of them rely on shallow feature respresentations, wh

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