Multinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex
Low-light image enhancement (LLIE) aims to restore natural visibility, color fidelity, and structural detail under severe illumination degradation. State-of-the-art (SOTA) LLIE techniques often rely on large models and multi-stage training, limiting practicality for edge deployment. Moreover, their dependence on a single color space introduces instability and visible exposure or color artifacts. To address these, we propose Multinex, an ultra-lightweight structured framework that integrates multiple fine-grained representations within a principled Retinex residual formulation. It decomposes an image into illumination and color prior stacks derived from distinct analytic representations, a...
| Authors | Alexandru Brateanu, Tingting Mu, Codruta Ancuti et al. |
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| Primary category | cs.CV |
| Published | 11 April 2026 |
| Last updated at source | 27 July 2026 |
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