Greetings!
I've been comparing denoising results in PixInsight using various settings of the GraXpert Denoise script and NoiseXTerminator process. I would appreciate hearing how others are using either one or both of these excellent tools. In the following I provide some results that, at least to me, are essentially identical, having adjusted the respective parameters to my taste. I am sure, however, that each method emphasizes a different process and set of decisions, and it is the difference of these details that interests me.
The following are zoomed-in cropped images of NGC 5906, The Splinter Galaxy. This is the result of about two hours integration time with a 10" TS RC, QHY600M-PH, TSRCFlat3, FL 2000mm, resolution 0.38 "/px. The processing up to this point has included ImageIntegration, background subtraction using GraXpert, then BlurXTerminator. Following that I applied to separate instances of the image (1) GraXpert Denoise and (2) NoiseXTerminator, for comparison. In both cases, I applied the default stretch using ScreenTransformFunction applied to HistogramTransform. The denoising input settings and Statistics outputs follow.


The default settings of NoiseXTerminator produce a more aggressive noise reduction than I prefer, whereas GraphXpert Denoise's default produces a milder reduction for my taste, therefore I played around with both until I got something that looks and measures nearly the same, at least according to the avgDev and MAD values in the following:

This is about as close as I could get for the statistics, and, to my eye, the two images are nearly identical with only the small subtle differences perhaps in star halo. This suggests to me that I could easily choose one or the other. However, I don't want to potentially miss out on some details that may turn out to be important to me.
Again, I'd appreciate your input and recommendations on how to best use one or both of these tools, explain perhaps what you like about one over the other, provide details on how they differ, etc.
Thank you, and I look forward to hearing your responses.
Best Regards,
Ben
I've been comparing denoising results in PixInsight using various settings of the GraXpert Denoise script and NoiseXTerminator process. I would appreciate hearing how others are using either one or both of these excellent tools. In the following I provide some results that, at least to me, are essentially identical, having adjusted the respective parameters to my taste. I am sure, however, that each method emphasizes a different process and set of decisions, and it is the difference of these details that interests me.
The following are zoomed-in cropped images of NGC 5906, The Splinter Galaxy. This is the result of about two hours integration time with a 10" TS RC, QHY600M-PH, TSRCFlat3, FL 2000mm, resolution 0.38 "/px. The processing up to this point has included ImageIntegration, background subtraction using GraXpert, then BlurXTerminator. Following that I applied to separate instances of the image (1) GraXpert Denoise and (2) NoiseXTerminator, for comparison. In both cases, I applied the default stretch using ScreenTransformFunction applied to HistogramTransform. The denoising input settings and Statistics outputs follow.


The default settings of NoiseXTerminator produce a more aggressive noise reduction than I prefer, whereas GraphXpert Denoise's default produces a milder reduction for my taste, therefore I played around with both until I got something that looks and measures nearly the same, at least according to the avgDev and MAD values in the following:

This is about as close as I could get for the statistics, and, to my eye, the two images are nearly identical with only the small subtle differences perhaps in star halo. This suggests to me that I could easily choose one or the other. However, I don't want to potentially miss out on some details that may turn out to be important to me.
Again, I'd appreciate your input and recommendations on how to best use one or both of these tools, explain perhaps what you like about one over the other, provide details on how they differ, etc.
Thank you, and I look forward to hearing your responses.
Best Regards,
Ben