An offline compression artifact remover and denoise application for Android
Models list available here, see examples for how to use them.
Translate: https://translate.codeberg.org/projects/dejpeg
If you'd like to use models on PCs (Linux/Mac/Windows), look at chaiNNer (for FBCNN, install this custom node and use PyTorch models from the FBCNN repo)
Regarding the recent restriction of 3rd party apps, this won't be on the Play Store and I will not be involved with Developer Verification.
Standard gradle build proceses. For building with Intel® Oidn Denoising, see oidn/readme.md
This is a GUI for a select amount of 1x ONNX processing models, used under their respective licenses (Apache 2.0)
DeJPEG v4 and onward is licensed under AGPLv3-or-later Older versions (v3 and under) are under GPLv3-only.
Credits to @adrianerrea for a starting point, FBCNN and SCUNet creators plus all other model owners.
DeJPEG is not affiliated or related with Topaz DEJPEG or any other similarly named software/project. Although I've wondered if the term 'JPEG' is copyrighted/trademarked due to it literally being the acronym for Joint Photographic Experts Group, for this reason I might need to change the app's name if legal issues start to occur