If you come across a tiny image online (public domain hopefully) and you want to put it in a presentation or send to someone, you may be wondering if you can use an upsampling algorithm to increase its level of detail. The second is when you’re printing an image and want to avoid pixelation in the details. The first is when you’re working with a digital file that is extremely small, maybe just a few hundred pixels across.
There are two major situations where upsampling an image is a good idea. It’s not something meant to be used all the time doing so would only take up space on your hard drive without meaningfully improving the quality of your images. Rather, upsampling is a fairly niche tool to solve a couple specific problems that you may come across occasionally when you work with images. Even if it could, you could just upsample the 48 megapixel image by a corresponding amount and still come out ahead!
A 12 megapixel image will never contain as much detail as a comparable 48 megapixel image no matter how much you upsample it or what algorithms you use. However, upsampling isn’t a magic bullet.
TOPAZ GIGAPIXEL VS ON1 RESIZE 360P
It’s most common in photography and graphic design to increase the resolution of an image, but it can also be used to increase the resolution of a video file (say, from 360p to 720p) or any other visual data. Upsampling is a tool in post-production software to increase resolution.
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