In this postgenomic era, the perceived 'failure' of target-based drug discovery (in part owing to the complexities of biological systems and disease pathophysiology) has recently led to the ...

Abstract: Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem ...

License: see LICENSE document For an academic license please download, sign and send a copy of the LICENSE document to [email protected], please cc ...

Abstract: Deconvolution technology, as an effective means to enhance the resolution of seismic data, has emerged as a prominent research area in the field of seismic exploration. However, due to its ...

This repository contains the PyTorch code for our paper "INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions" by Zhihong Zhang, Yuxiao ...