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Image Deconvolution

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Showing 1–50 of 78 papers

TitleStatusHype
Joint multiband deconvolution for Euclid and Vera C. Rubin images—0
Super Resolution image reconstructs via total variation-based image deconvolution: a majorization-minimization approach—0
Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects—0
The Empirical Watershed Wavelet—0
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent EncodingCode0
Learning Point Spread Function Invertibility Assessment for Image Deconvolution—0
Solar multi-object multi-frame blind deconvolution with a spatially variant convolution neural emulator—0
Ground-based image deconvolution with Swin Transformer UNet—0
Whiteness-based bilevel learning of regularization parameters in imaging—0
PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution—0
Learning to See Through Dazzle—0
Deep, convergent, unrolled half-quadratic splitting for image deconvolutionCode1
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors—0
VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation—0
The Secrets of Non-Blind Poisson Deconvolution—0
Self-Supervised Single-Image Deconvolution with Siamese Neural Networks—0
Accelerated Bayesian imaging by relaxed proximal-point Langevin samplingCode0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution—0
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo AlgorithmsCode0
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep PriorsCode0
Reconstructing the Image Scanning Microscopy Dataset: an Inverse Problem—0
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMMCode1
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior—0
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training—0
Poissonian Blurred Image Deconvolution by Framelet based Local Minimal Prior—0
Nonblind image deconvolution via leveraging model uncertainty in an untrained deep neural networkCode0
Blind Image Deconvolution Using Variational Deep Image PriorCode1
Wiener Guided DIP for Unsupervised Blind Image DeconvolutionCode1
Implicit Neural Representations for Deconvolving SAS Images—0
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution—0
Learning Discriminative Shrinkage Deep Networks for Image DeconvolutionCode0
Plug-and-Play Quantum Adaptive Denoiser for Deconvolving Poisson Noisy ImagesCode1
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks—0
Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme—0
Blind Image Deconvolution using Student's-t Prior with Overlapping Group Sparsity—0
Image Deconvolution via Noise-Tolerant Self-Supervised InversionCode1
Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution—0
Deep Blind Video Super-resolutionCode1
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
Image Deconvolution with Deep Image and Kernel Priors—0
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry—0
Blind Image Deconvolution using Pretrained Generative PriorsCode0
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution—0
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks—0
A Deep Optimization Approach for Image Deconvolution—0
Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity—0
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution—0
Iterative Residual Image DeconvolutionCode0
Simultaneous Fidelity and Regularization Learning for Image RestorationCode0
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