August 11, 2025Applied SciencesOpen Access

Multi-Feature Fusion Diffusion Post-Processing for Low-Light Image Denoising

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The proposed method significantly improves image quality by preserving detail while reducing noise in low-light conditions.
Experimental results show that it outperforms traditional and deep learning denoising methods in both qualitative and quantitative metrics.
The approach utilizes a diffusion model and multi-feature fusion for enhanced semantic information extraction.
The technique effectively addresses common issues with U-Net skip connections in multi-scale feature fusion.

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Conditional diffusion model enhances image quality in low-light scenarios, improving detail preservation and noise reduction.

Shi et al. (2025) studied this question.

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