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November 19, 2025ElectronicsOpen Access

MambaDPF-Net: A Dual-Path Fusion Network with Selective State Space Modeling for Robust Low-Light Image Enhancement

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Authors

ZZZikang ZhangSYSongfeng YinZZZikang Zhang

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Overview

Proposed dual-path fusion network improves noise reduction and reflectance in low-light images, indicating robust image enhancement.

Key Points

  • Enhanced noise reduction was achieved through the reflectance domain, ensuring improved clarity in low-light images.
  • Using a decoupling approach allowed for effective illumination estimation and feature aggregation, yielding superior results.
  • The framework incorporates selective state space modeling to achieve robust spatio-temporal representation, enabling intricate details in images.
  • This approach highlights potential advancements in image enhancement technologies with significant implications for visual task performance.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/6924fed8c0ce034ddc351278https://doi.org/10.3390/electronics14224533
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