Abstract: As a fundamental task in image processing, blind image restoration (BIR) faces significant challenges due to the unknown nature of the degradation process. While transformer-based methods ...
However, enhancing the fidelity of image restoration networks and improving their robustness under fluorescence noise remain significant challenges. Professor Xi Peng's team from the College of Future ...
Peking University, June 9, 2026: Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration ...
Recovering images from blur depends on a point-spread function, stable frequency-domain utilities, and careful regularization. deconvolution provides known-PSF restoration, blind workflows, PSF/OTF ...
Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...
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