Abstract: Images captured in low-light conditions often suffer from overexposure, amplified noise, and uneven illumination. Supervised enhancement methods tend to overfit specific scenes, while ...
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Abstract: Medical image denoising faces great challenges. Although deep learning methods have shown great potential, their efficiency is severely affected by millions of trainable parameters. The ...
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