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Open access Sep 2026

Enhanced Lightweight Image Super-Resolution via Residual Aggregation and Wavelet Loss

Image super-resolution (SR), which aims to reconstruct a high-resolution image from a low-resolution input, has progressed from convolutional neural networks (CNNs) to transformer-based architectures. Despite this progress, lightweight transformer SR remains challenging: local or window-based operations provide limited...

Jia-Hui Nan, Wen-Kai Wang, Feng Zhang et al. · 0 citations
Open access Sep 2026

Diffusion-based self-supervised adaptive denoising for live-cell fluorescence microscopy

To mitigate phototoxicity, photobleaching, and motion blur, long-term live-cell fluorescence imaging is typically performed with low excitation intensity and short exposure times, resulting in extremely low and progressively decaying signal-to-noise ratio (SNR). Meanwhile, the inherent irreproducibility of biological p...

Ming-Lu Sun, Wen-Tian Si, Zi-Hao Zhang et al. · 0 citations

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