Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images

v1v2 (latest)

Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images

13 May 2019

Gabriele Facciolo

ArXiv (abs)PDF HTML

Papers citing "Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images"

7 / 7 papers shown

Title
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery N. Nguyen J. Anger Axel Davy Pablo Arias Gabriele Facciolo 73 9 0 14 Apr 2023
Joint Multi-Scale Tone Mapping and Denoising for HDR Image Enhancement Litao Hu Huaijin Chen J. Allebach 87 12 0 16 Mar 2023
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites N. Nguyen J. Anger Axel Davy Pablo Arias Gabriele Facciolo SupR 105 16 0 04 May 2022
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? Valéry Dewil Aranud Barral Gabriele Facciolo Pablo Arias 68 5 0 25 Apr 2022
Learning Model-Blind Temporal Denoisers without Ground Truths Yanghao Li Bichuan Guo Jiangtao Wen Zhengxu Xia Shan Liu Yuxing Han DiffM 53 5 0 07 Jul 2020
A Review of an Old Dilemma: Demosaicking First, or Denoising First? Qiyu Jin Gabriele Facciolo Jean-Michel Morel 56 29 0 24 Apr 2020
Self-Supervised training for blind multi-frame video denoising Valéry Dewil J. Anger Axel Davy T. Ehret Pablo Arias Gabriele Facciolo 63 37 0 15 Apr 2020