While doing this comparison review, it took between 10 to 15 minutes to process one image in Gigapixel AI on my 2014 Apple iMac computer. There’s a drastic difference in processing time when exporting out an image. Unfortunately, however, it’s not all roses here. Topaz Labs Gigapixel AIĬlearly, Gigapixel AI is a much more fully-featured tool that can be finessed to getting different results from the same photo based on what’s desirable. As a standalone application, the preview window is also much larger than that of Adobe. modes depending on what the content is, including Standard photos, Architectural, Compressed, and Art. There are more refinement controls as well in Gigapixel AI, such as Suppress Noise, Remove Blur, Reduce Color Bleed, and Face Refinement. While Super Resolution can only double the length and width of an image, users in Gigapixel AI can choose to upscale any custom amount up to six times the original size. Looking at Gigapixel AI, it takes things to another level. Super Resolution panel inside Adobe Camera RAW To that, I’m excited at the prospect of being able to enlarge the apparent size of my subjects and maintain quality while also not trimming so many pixels away that I’m left with a finished image the size of a postage stamp.

As a bird photographer, I will tell you that heavy cropping is an accepted practice as it’s more ethical to not disturb avian routines and also because 600mm doesn’t mean nearly as much as you think when your subject is a few inches tall. In this comparison review, I will be taking a closer look specifically at how each handles enlarging subjects for the purpose of being able to crop in further. Will this change with Adobe now entering the ring? Gigapixel AI has been around since 2018 and is by all accounts the best and most popular product for the job. Similar in purpose, Topaz Labs Gigapixel AI is a standalone software that specializes in upscaling images through the use of machine learning/artificial intelligence (AI). Super Resolution is a brand new feature that lives inside Adobe Camera RAW and uses machine learning to increase the size of images while attempting to maintain sharp details that can otherwise be muddied from simple upscaling.

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