#On1 resize automate software#

#On1 resize automate software#

Out of curiosity, do the various AI-based post-processing programs work on TIFFs as well as raw? If they do, demosaicing the raw in something like RawTherapee with the most suitable algorithm (with 'false colour supression steps' set accordingly) first, exporting to 16-bit TIFF, scaling to the required size and then using the AI software on that TIFF, might work better. In my head, that thought process makes sense. Unfortunately, pixel-shift doesn't work for all shooting situation, higher resolution sensor eliminates false colors in all shooting conditions.Out of curiosity, do the various AI-based post-processing programs work on TIFFs as well as raw? If they do, demosaicing the raw in something like RawTherapee with the most suitable algorithm (with 'false colour supression steps' set accordingly) first, exporting to 16-bit TIFF, scaling to the required size and then using the AI software on that TIFF, might work better.

Pixel shift eliminates color aliasing and moiré pattern, which brings a significant improvement for large prints. For example at 20x30' print size, it is difficult to tell the difference between a 200 PPI sharpened print and a 300 PPI with less sharpening, the eye get fooled by very small details. Pure pixel level resolution / detail doesn't play a big role because the eye sensitivity to contrast isn't constant with feature size. Sometimes it works well, sometimes I just toss the images. I've used the Topaz Gigaixel AI with mixed results. Higher resolution eliminates false colour until moire and colour bending set in, then high resolution causes false colour and moire. Unfortunately, pixel-shift doesn't work for all shooting situation, higher resolution sensor eliminates false colors in all shooting conditions.I'm largely in agreement.

AI doesn't play well in presence of color aliasing (my experience with up-sampling, AI for printing). It's not so much the megapixels, but false colors due to insufficient pixel density. Unfortunately, pixel-shift doesn't work for all shooting situation, higher resolution sensor eliminates false colors in all shooting conditions. edge and corner sharpness gradient from center (distracting, depending on optical properties) aliasing, false colors, moiré (catches attention before lack of resolution becomes visible) lens CA (striking, immediately visible in prints) AI doesn't play well in presence of color aliasing (my experience with up-sampling, AI for printing).įor prints, I would rank image imperfections by order of importance: Who meeds a 60 Mpxl camera?It's not so much the megapixels, but false colors due to insufficient pixel density.