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ORF at a glance
ORF
ORF belongs to the long Olympus digital-camera story, especially in the Four Thirds and Micro Four Thirds eras where portability and serious editing often coexisted.
JBIG2 at a glance
JBIG2
JBIG and JBIG2 belong to the branch of imaging standards aimed at scanned monochrome or mostly bitonal content rather than rich photographic colour imaging.
Format comparison
| Feature | ORF | JBIG2 |
|---|---|---|
| File type | Image | Image |
| Extensions |
|
|
| MIME type |
|
|
| Created year | 2003 | 2000 |
| Inventor | Olympus (now OM System) | Joint Bi-level Image Experts Group |
| Status | proprietary | active |
| Transparency | Not supported | Not supported |
| Animation | Not supported | Not supported |
| Primary use cases |
|
|
| Layer support | Not supported | Not supported |
| Vector scaling | Not supported | Not supported |
| Camera raw data | Supported | Not supported |
| HDR support | Not supported | Not supported |
| Streaming ready | Not supported | Not supported |
When to use each format
When to use ORF
- Your source file is already in ORF.
- Preserve source expectations before exporting to JBIG2.
- ORF is commonly used in image workflows.
When to use JBIG2
- Your target workflow expects JBIG2.
- Improve delivery compatibility with JBIG2.
- JBIG2 is commonly used in image workflows.
FAQs
Why convert ORF to JBIG2?
Convert to JBIG2 when optimizing scanned monochrome documents, forms, or page archives for storage and distribution.
It is ideal for document-heavy imaging pipelines where file size matters and the source is mostly black-and-white content.
What changes when converting ORF to JBIG2?
This conversion changes how the format behaves in downstream tools and delivery environments.
Moving to JBIG2 removes camera raw data.
What should I review after converting ORF to JBIG2?
Validate output quality on representative files and confirm the target format behaves correctly in the destination workflow.