![]() ![]() Super Resolution could treat compression artifacts as image content, meaning that they’re something to preserve or make more visible, rather than clean up or fix. Smartphone JPEGs may also have heavier compression, making it more difficult to find all the detail in an image. The same would be true of, say, clouds in a night sky, or texture in rocks, for instance. Clothing might look more like a solid color than detailed fabric, even after applying the additional resolution to it. Adobe’s technology wouldn’t be able to recover the detail underneath, especially if there was texture to the subject in question. Smartphones will sometimes apply aggressive noise reduction, particularly in low-light conditions, which can smear or soften elements. It’s kind of proportional to the quality of the source.” Original Enhanced with Super Resolution and Edited in Lightroom ![]() ![]() “That said, if you apply Super Resolution to a high-quality DSLR file, and then apply it to a smartphone image, both will improve, but you shouldn’t expect the improvements to be exactly the same. “We’ve certainly trained our models on a lot of image content that has come from sensors of different sizes, so it covers things from the really small pixels you would find in a normal smartphone,” says Chan in an interview. Eric Chan, Senior Principal Scientist, Digital Imaging at Adobe, covers many of the technical details of how the technology works in a blog post, though doesn’t specify how that might apply to smartphones. ![]()
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