bob_estremera Posted December 3, 2021 Share Posted December 3, 2021 Quick question, I need to uprez a 24mp photo through Adobe Super Resolution for the final print. I plan to use Lightroom for all the post processing including using the new masking features, which I have not used before. This photo will be the first. Should I uprez the photo as a first step and make the adjustments to the uprezzed image or should I make all the adjustment first and uprez the finished file for printing? Thanks, Bob Link to comment Share on other sites More sharing options...
digitaldog Posted December 3, 2021 Share Posted December 3, 2021 First. Capture and output sharpening if done there, all based on the pixels you have for one. Any visual work like NR will be based on this too. Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com) Link to comment Share on other sites More sharing options...
hapien Posted December 4, 2021 Share Posted December 4, 2021 Adobe recommends 1. Right-click on a photo (or hold the Command or Control key while clicking) and choose Enhance. 2. In the Enhance Preview dialog box, check the Super Resolution box and then press Enhance. Make sure to select Raw Details. 3. Continue editing your new DNG file. Is not 24Mpix plenty of data to begin with, 96Mpix image file must be huge and possibly slow to upload to printer. Link to comment Share on other sites More sharing options...
bob_estremera Posted December 4, 2021 Author Share Posted December 4, 2021 Thanks for the help guys. Can I Super Enhance a TIFF file? I find that going into Photo Ninja with my Xtrans Fuji files yields better fine details and holds highlight details noticeable better than Lightroom does. But then I have to work from a TIFF. Bob Link to comment Share on other sites More sharing options...
digitaldog Posted December 4, 2021 Share Posted December 4, 2021 From Adobe: Raw Details, previously called Enhance Details produces crisp detail and more accurate renditions of edges, improves color rendering, and also reduces artifacts. The resolution of the enhanced image stays the same as the original image. This feature is especially useful for large displays and prints, where fine details are visible. The supported file types are raw mosaic files from cameras with Bayer sensors (Canon, Nikon, Sony, and others) and Fujifilm X-Trans sensors. Super Resolution, introduced in Camera Raw 13.2, helps create an enhanced image with similar results as Raw Details but with 2x the linear resolution. This means that the enhanced image will have 2x the width and 2x the height of the original image, or 4x the total pixel count. This feature supports the same file types as Raw Details, plus additional file types such as JPEG and TIFF. Super Resolution is especially useful to increase the resolution of a cropped image Author “Color Management for Photographers" & "Photoshop CC Color Management" (pluralsight.com) Link to comment Share on other sites More sharing options...
paddler4 Posted December 5, 2021 Share Posted December 5, 2021 I do what Adobe suggests, in the posting by hapien: try super resolution at the beginning. The impact of Super Resolution varies, in my limited experience. Sometimes it creates a noticeable improvement, while other times it doesn't. This makes sense for a machine-learning algorithm (I'm speculating here): the more characteristics the image you are trying to improve shares with the training set, the better the algorithm should work. I was recently asked to print at 8 x 10 from a 147K JPEG given to someone from a race photographer. In that case, Super Resolution did help. I tried it on a larger file of my own and was disappointed. I wouldn't worry about the file size and uploading to the printer. Uploading is not what slows a printer down, at least if you have a good connection. I print TIFF files out of Photoshop that vary from 300+ Mpix to over 900 Mpix with no problem. Link to comment Share on other sites More sharing options...
bob_estremera Posted December 5, 2021 Author Share Posted December 5, 2021 Thanks all. Bob Link to comment Share on other sites More sharing options...
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