- New: experimental models (custom ONNX) - Added time estimation - Fixed gaps in large images and crashing issues with SCUNet - Major dialog changes - Prevented images over 8000 px to avoid crashes

An app for removing noise and compression artifacts from photos. Features: - Batch processing - Supports most image formats - Before/after view - Fully offline This is not a "super resolution AI upscaler," but a simple, non-destructive method for cleaning up and restoring images. Models (required): - FBCNN (JPEG compression) - SCUNet (Grain/Noise) More info (also in the app’s FAQ): https://github.com/jeeneo/dejpeg/wiki/model-types You can also run other experimental models. More info here: https://github.com/jeeneo/dejpeg-experimental Limitations: - Processed locally; minimum 4 GB RAM and 4 threads recommended - Limited to images below 8000 pixels; images above 4000 px may affect performance See the wiki for more information: https://github.com/jeeneo/dejpeg/wiki Note: Please see this issue before downloading: https://github.com/jeeneo/dejpeg/issues/26 Disclaimer: DeJPEG is not affiliated with or related to Topaz DEJPEG or any other similarly named software/project. This app originated from personal use and was modified for public release. arm64-v8a