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The other reason is that subpar upscaling of facial features causes the photo to “fall apart” at a much higher rate than, say, a building. Part of the reason could be because of the personal connection with the person (or people) in the photo, especially if you are in it. That threshold is much higher when it comes to upscaling a photo with people in it. As long as the details are sharp and discernible, we tend to be satisfied with the results.

For example, you may have one threshold for a low-resolution photo of a building that is being upscaled. There is a certain built-in quality threshold that users expect when upscaling a low-resolution photo and it varies based on the subject that is being upscaled. Despite using a 100-400mm telephoto lens with a 1.4x teleconverter, this was the closest I could focus on the bird. Earlier this year, I went on a trip to photograph bald eagles that routinely nest and feed in the area during the winter. Here’s a practical example of why you’d need to upscale a photo and why using Gigapixel AI is the smart choice for that task. Regardless of why you may need to upscale a photo, Gigapixel AI will provide superior results while also preserving (and enhancing) important details.

Another common scenario is that you had to apply a heavy crop to the photo, which effectively reduces the resolution, and you want to increase it again. Perhaps the original version of the photo is already low resolution and you need to increase it for a large poster print.

When discussing upscaling in terms of digital photography, we most commonly refer to the process of increasing the resolution-or dimensions-of a photo, and there are several reasons why you’d need to upscale one.

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How to upscale a photo without losing quality

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