The GeoDict Result Viewer opens for the result file on the report, which only provides information on runtime and memory usage. From the Result Visualization tab, the input and output files can be loaded by clicking Load. If one of them is already loaded, check Keep existing Volume Fields. Then, you can switch between the two fields under the Volume Field tab.
Compare the input and output images to validate the performance of the selected network.
In the example below, a carbonate sample was scanned once with short and once with long exposure time. The sample data was provided by Petroleum Engineering Research Center.
Using GeoDict -AI a neural network was trained to transform the low quality scan into the high quality scan.
Below find a comparison of applying the NLM-filter and applying the trained AI-model on the low quality scan, respectively.
The NLM filter already reduces noise, but the contrast is worse compared to the scan with long exposure time. The AI model, however, produces a scan with a contrast comparable to the high quality scan while having less noise.
Once a model is trained with GeoDict-AI, short exposure times are sufficient to obtain high quality images using Enhance Image (AI) in GeoDict.
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