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Found 3 papers, 2 papers with code
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration
Our approach combines a pre-trained network to extract deep features from the input image with iterative Richardson-Lucy deconvolution steps.
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
Our results demonstrate that LUCYD outperforms the state-of-the-art methods in both synthetic and real microscopy images, achieving superior performance in terms of image quality and generalisability.
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior
We present a model for non-blind image deconvolution that incorporates the classic iterative method into a deep learning application.
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