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Blind Deconvolution
Xiaoyu Bi: Blind Deconvolution with Richardson Lucy Algorithm
Blind Deconvolution Using Unconventional Beamforming
Blind deconvolution using modulated inputs
A Guide to Blind Deconvolution01
Neural Blind Deconvolution Using Deep Priors
Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution
How to undo convolution: deconvolution for image reconstruction (via Fourier & convolution theorem)
Learning to Push the Limits of Efficient FFT-based Image Deconvolution
Blind Deconvolution of galaxy survey images - Starck - Workshop 2 - CEB T3 2018
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
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Last Updated: October 2, 2026
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Summary
... impossible so today we're diving into the detective story of ... the math the math is actually uh crazier than the movies it's a field of image processing called ... blur in the first place today we're going to dive into that seemingly impossible problem and it's called Hi everyone my name is Joey and my topic today is When an acoustic wave travels in a medium which encounters the boundary of a second medium, recorded signals by a receiver ... ... we're talking almost impossible okay so the official term for this is Authors: Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo We evaluate our approach on two common non- Jean-Luc Starck (CEA) / 24.10.2018 Yuqian Zhang, Yenson Lau, Han-wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright