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Canon EOS R3 Baked in Raw Noise Reduction Revisited

Started Jan 21, 2022 | Discussions thread
EthanCam Regular Member • Posts: 111
Thanks! Also, auto-correlation and isolating the color channels
1

Thanks for showing this!

This shows clearly the difference between a non-baked and a baked raw file!

The non-flat Fourier Power Spectra tells us that something is going on, i.e that there is some correlation between the pixels.

As a side note, for the R6, the 9 pixels taking part in the red or blue averaging kernels are well separated by one pixel, whereas the 9 pixels taking part in the green averaging kernel are touching other: https://www.dpreview.com/forums/post/65857338

I think this makes the Fourier transform complicated to interpret, especially if pixels from all 3 colors are taken as a whole, and I suspect this could be one of the reasons why you have a difference between sensor rows and sensor columns in your FTs for the R3.

Also, the auto-correlation method is a great tool to complement the Fourier Transform, as ideally it can provide an estimate for the averaging kernel.

Once NR is detected, the tricky part in NR analysis is to isolate the specific color channels and/or specific rows/columns on which raw processing is applied. It’s a a bit of a headscratching and trial-and-error exercise…

Ethan

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