A Bayesian Hyperprior Approach for Joint Image Denoising and
Interpolation, with an Application to HDR Imaging

A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging

10 June 2017

Cecilia Aguerrebere

Andrés Almansa

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Papers citing "A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging"

10 / 10 papers shown

Title
Riemannian Patch Assignment Gradient Flows Daniel Gonzalez-Alvarado Fabio Schlindwein Jonas Cassel Laura Steingruber Stefania Petra Christoph Schnörr 73 0 0 17 Apr 2025
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 140 11 0 10 Sep 2024
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods Remi Laumont Yiqiu Dong Martin Skovgaard Andersen 50 1 0 24 Jun 2024
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 67 4 0 17 Apr 2023
Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography Anssi Manninen Meghdoot Mozumder T. Tarvainen A. Hauptmann 48 1 0 18 Aug 2022
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites N. Nguyen J. Anger Axel Davy Pablo Arias Gabriele Facciolo SupR 107 16 0 04 May 2022
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 96 112 0 08 Mar 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 92 31 0 02 Mar 2021
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array Takeru Suda Masayuki Tanaka Yusuke Monno Masatoshi Okutomi 56 10 0 20 Nov 2020
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior Mario González Andrés Almansa M. Delbracio Pablo Musé Pauline Tan 54 6 0 14 Nov 2019