33 lines
1.4 KiB
Markdown
33 lines
1.4 KiB
Markdown
# Super Resolution
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Combine multiple aligned scans to produce a super-resolved image with higher spatial resolution. Sub-pixel shifts between inputs are estimated via FFT cross-correlation and used to reconstruct a finer grid. Equivalent to Gwyddion's superresolution.c.
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## Inputs
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| Name | Type | Required | Description |
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|------|------|----------|-------------|
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| field1 | DATA_FIELD | Yes | Reference image |
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| field2 | DATA_FIELD | No | Second image |
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| field3 | DATA_FIELD | No | Third image |
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| field4 | DATA_FIELD | No | Fourth image |
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## Outputs
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| Name | Type | Description |
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|------|------|-------------|
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| result | DATA_FIELD | Super-resolved image |
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## Controls
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| Name | Type | Default | Description |
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|------|------|---------|-------------|
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| upscale | INT | 2 | Upscaling factor (2, 3, or 4) |
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## Notes
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- When only one field is provided the image is upsampled using cubic interpolation (no multi-image enhancement).
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- Additional fields are aligned to the reference using FFT-based cross-correlation with parabolic sub-pixel refinement, then averaged on the high-resolution grid.
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- Providing more images generally improves the result because each scan samples slightly different sub-pixel positions.
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- All input fields should have the same pixel dimensions and physical size for correct alignment.
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- The upscale factor controls the output resolution multiplier (2x, 3x, or 4x the input dimensions).
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