374108460437 this would match quite well how denoising basically does not change anything on my A7RV files, forcing me to likewise use another tool like DeNoise AI.
Add also similar improvement other OM System / Olympus camera with HighRes shoot: EM-1 Mark III , EM1X.
Indeed, the sharpening out of the camera as well as the sharpening in OM Workspace is a lot of better as in C1. Unfortunately, one gains sharpness but loose the colours controls.
This would really help me too. I use Hi-Res on my EM1 MK3 for expanding dynamic range (rather than extra resolution) and am finding it really useful. But the processing of the files has been problematic, they can be really soft without some sharpening and I've not yet found the best way to sharpen them successfully.
This is interesting. I don't work for C1, but I can imagine that, if their algorithm is based on bottom-up math, instead of top-down math (i.e. starting with pixels and working their way up to the bigger picture, rather than starting with the overall image noise and working their way down) then this would definitely be a problem.
I've noticed in other parts of their app that they have limitations on the sample size/granularity of something, so it wouldn't surprise me if there was an inherent size range assumption baked into their feature parameters.
374108460437 this would match quite well how denoising basically does not change anything on my A7RV files, forcing me to likewise use another tool like DeNoise AI.
Add also similar improvement other OM System / Olympus camera with HighRes shoot: EM-1 Mark III , EM1X.
Indeed, the sharpening out of the camera as well as the sharpening in OM Workspace is a lot of better as in C1. Unfortunately, one gains sharpness but loose the colours controls.
This would really help me too. I use Hi-Res on my EM1 MK3 for expanding dynamic range (rather than extra resolution) and am finding it really useful. But the processing of the files has been problematic, they can be really soft without some sharpening and I've not yet found the best way to sharpen them successfully.
This is interesting. I don't work for C1, but I can imagine that, if their algorithm is based on bottom-up math, instead of top-down math (i.e. starting with pixels and working their way up to the bigger picture, rather than starting with the overall image noise and working their way down) then this would definitely be a problem.
I've noticed in other parts of their app that they have limitations on the sample size/granularity of something, so it wouldn't surprise me if there was an inherent size range assumption baked into their feature parameters.