[bscphil]

IMO the denoising looks rather unnatural and emphasizes the remaining artifacts, especially color fringe around details. Personally I'd leave that turned off. Also, with respect to the demosaic step, I wonder if it's possible to implement a version of RCD [1] for improved resolution without the artifacts that seem to result from the current process.

[1] https://github.com/LuisSR/RCD-Demosaicing

[dllu]

Yeah I actually have it disabled by default since it makes the horizontal stripes more obvious and it's also extremely slow. Also, I found that my vertical stripe correction doesn't work in all cases and sometimes introduces more stripes. Lots more work to do.

As for RCD demosaicing, that's my next step. The color fringing is due to the naive linear interpolation for the red and blue channels. But, with the RCD strategy, if we consider that the green channel has full coverage of the image, we could use it as a guide to make interpolation better.

[DoctorOetker]

When you do the demosaicing, and perhaps other steps, did you ever consider declaring the x-positions, spline parameters, ... as latent variables to estimate?

Consider a color histogram, then the logo (showing color oscillations) would have a wider spread and lower peaked histogram versus a correctly mapped (just the few colors plus or minus some noise) which would show a very thin but strong peak in colorspace. A a high-variance color occupation has higher entropy compared to a low-variance strongly centered peak (or multipeak) distribution.

So it seems colorspace entropy could be a strong term in a loss function for optimization (using RMAD).

[DoctorOetker]

Do you share some of the original raw recordings somewhere?

[Cloudef]

Yeah, i dont think the denoised result looks that good either