Browse State-of-the-Art › Joint Demosaicing and Denoising
Joint Demosaicing and Denoising
4 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
5 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
17 Mar 2022 1 repository listedDenoising and demosaicking are two essential steps to reconstruct a clean full-color image from the raw data.
-
16 Oct 2021 1 repository listedWe combine our proposed module with adversarial learning to produce plausible images from Nona-Bayer CFA.
-
19 Apr 2021 1 repository listedIn this paper, we tackle the challenges of joint demosaicing and denoising (JDD) on such an image sensor by introducing a novel learning-based method.
-
1 Jun 2020 1 repository listedIn this paper, we propose a self-guidance network (SGNet), where the green channels are initially estimated and then works as a guidance to recover all missing values in the input image.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections