Papers › ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement
Eashan Adhikarla, Kai Zhang, John Nicholson, Brian D. Davison
Low-light image enhancement remains a challenging task in computer vision, with existing state-of-the-art models often limited by hardware constraints and computational inefficiencies, particularly in handling high-resolution images. Recent foundation models, such as transformers and diffusion models, despite their efficacy in various domains, are limited in use on edge devices due to their computational complexity and slow inference times. We introduce ExpoMamba, a novel architecture that integrates components of the frequency state space within a modified U-Net, offering a blend of efficiency and effectiveness. This model is specifically optimized to address mixed exposure challenges, a common issue in low-light image enhancement, while ensuring computational efficiency. Our experiments demonstrate that ExpoMamba enhances low-light images up to 2-3x faster than traditional models with an inference time of 36.6 ms and achieves a PSNR improvement of approximately 15-20% over competing models, making it highly suitable for real-time image processing applications.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Low-Light Image Enhancement | LOL | ExpoMamba | Average PSNR | 25.770 | #14 of 40 | Archive leaderboard | report |
| Low-Light Image Enhancement | LOL | ExpoMamba | LPIPS | 0.212 | #14 of 40 | Archive leaderboard | report |
| Low-Light Image Enhancement | LOL | ExpoMamba | SSIM | 0.860 | #14 of 40 | Archive leaderboard | report |
| Low-Light Image Enhancement | LOLv2 | ExpoMamba | Average PSNR | 28.040 | #8 of 12 | Archive leaderboard | report |
| Low-Light Image Enhancement | LOLv2 | ExpoMamba | LPIPS | 0.203 | #8 of 12 | Archive leaderboard | report |
| Low-Light Image Enhancement | LOLv2 | ExpoMamba | SSIM | 0.868 | #8 of 12 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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