The Heal node can reconstruct damaged, low res, or 8-bit data with 16-bit, high resolution fidelity. The Heal node can take quantized images with extreme banding of any shape, and clean up the terrain into a naturalistic output.
Heal can consume 8-bit data, (visually) damaged images, or low quality satellite data — even with bad JPEG artifacts — and turn it into a reasonably clean heightfield. It is also useful for upscaling lower resolution data such as Google map extracts.
Obviously, not all data can be reconstructed, but you can get a fair bit of quality back. Below is an example where we downsample a 16-bit heightfield to 8-bit, and then reconstruct it using the Heal node.
// TODO: Image
Properties
| Level | The level of healing to apply to the data. |
| Advanced | Enables additional options. |
| Softness | The softness of the reconstruction features. |
| Iterations | The number of times the reconstruction process is applied. Use lower values for Level and Softness with higher iterations for more refined results. |
Official Website | Discord | YouTube | Instagram | LinkedIn
This documentation is licensed under the MIT License, a very permissive open-source license.