https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A999186
Adaptive blind deconvolution using third-order moments : exploiting asymmetry
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blind deconvolutionthird orderadaptiveusingmoments
https://openreview.net/forum?id=8Cd8qYGmO23&referrer=%5Bthe%20profile%20of%20Yuqian%20Zhang%5D(%2Fprofile%3Fid%3D~Yuqian_Zhang1)
Structured Local Optima in Sparse Blind Deconvolution | OpenReview
Blind deconvolution is a ubiquitous problem of recovering two unknown signals from their convolution. Unfortunately, this is an ill-posed problem in general....
local optimablind deconvolutionstructuredsparseopenreview
https://deepai.org/publication/neural-blind-deconvolution-using-deep-priors
Neural Blind Deconvolution Using Deep Priors | DeepAI
Aug 6, 2019 - 08/06/19 - Blind deconvolution is a classical yet challenging low-level vision problem with many real-world applications. Traditional maximum...
blind deconvolutionneuralusingdeeppriors
https://www.iac.es/es/ciencia-y-tecnologia/publicaciones/solar-multiobject-multiframe-blind-deconvolution-spatially-variant-convolution-neural
Solar multiobject multiframe blind deconvolution with a spatially variant convolution neural...
Context. The study of astronomical phenomena through ground-based observations is always challenged by the distorting effects of Earth's atmosphere.
blind deconvolutionwith asolar
https://www.aanda.org/articles/aa/abs/2022/12/aa44123-22/aa44123-22.html
Multi-frame blind deconvolution and phase diversity with statistical inclusion of uncorrected...
blind deconvolution
https://www.semanticscholar.org/topic/Blind-deconvolution/13392
Blind deconvolution | Semantic Scholar
In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function used in the...
blind deconvolutionsemanticscholar
https://arxiv.org/abs/2508.17210
[2508.17210] Blind Deconvolution of Nonstationary Graph Signals over Shift-Invariant Channels
Abstract page for arXiv paper 2508.17210: Blind Deconvolution of Nonstationary Graph Signals over Shift-Invariant Channels
blind deconvolution
https://www.nist.gov/publications/apex-blind-deconvolution-color-hubble-space-telescope-imagery-and-other-astronomical
APEX Blind Deconvolution of Color Hubble Space Telescope Imagery and Other Astronomical Data | NIST
Jan 27, 2020 - The APEX method is a non-iterative, single frame, direct blind deconvolution technique that can sharpen certain kinds of high resolution images in quasi real-ti
https://deepai.org/publication/three-dimensional-blind-image-deconvolution-for-fluorescence-microscopy-using-generative-adversarial-networks
Three dimensional blind image deconvolution for fluorescence microscopy using generative...
Apr 19, 2019 - 04/19/19 - Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy. Fluorescenc...
three dimensionalfluorescence microscopyblindimagedeconvolution
https://arxiv.org/abs/1806.01097
[1806.01097] Modeling Realistic Degradations in Non-blind Deconvolution
Abstract page for arXiv paper 1806.01097: Modeling Realistic Degradations in Non-blind Deconvolution
180601097modelingrealisticdegradations
https://www.nist.gov/publications/apex-blind-deconvolution-color-hubble-space-telescope-imagery-and-other-astronomical-0
APEX blind deconvolution of color hubble space telescope imagery and other astronomical data: | NIST