This week we want to show you an example of the 4th Lundin model 'Lundin_GeoLab_SimpleDenoise". We believe this model is applicable to almost all datasets. Unlike the AJAX model, the SimpleDenoise model preserves the amplitude - frequency content. It only removes random noise.

Machine Learning: Lundin GeoLab SimpleDenoise

As such its output is comparable to our famous Dip-steered Median Filter. The advantage of SimpleDenoise is that the application is extremely fast, but a Dip-Steered Median filter gives the user control over the amount of smoothing / noise reduction.

For more information about the Lundin models or about our Discord Developers community join the OpendTect Machine Learning Discord community.

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