You run your grandparents' wedding photo through the app and it comes back sharp, with defined faces and clean outlines. The result is impressive \u2014 and deserves an explanation that almost no one gives.<\/p>\n
That detail wasn't there.<\/b> Artificial intelligence did not find hidden information in the image: it generated new information that matches the rest.<\/p>\n The model learned what faces and textures usually look like and drew what was missing in a way that was consistent with the surroundings.<\/p><\/div><\/div> Fine features, eye shape, and smile can all come out differently from the original. The worse the photo, the more the model embellishes.<\/p><\/div><\/div> Enlarging a small photo creates new pixels by estimation. The perceived sharpness increases; the actual information does not.<\/p><\/div><\/div> The restored version is an interpretation. The original file is the document, and it should not be overwritten.<\/p><\/div><\/div> There are uses where it excels and the risk is low. Remove scratches, stains, creases, and yellowing from a scanned photo.<\/b> It's a physical damage repair: the image information is there, and the model only cleans what's on top of it.<\/p>\n The same applies to Correct faded color<\/b> and for reduce noise<\/b> from a scan done in low light. These are operations that respect what the photo has to offer.<\/p>\n The slippery slope begins when the photo is small, very blurry, or of very low resolution. Then the model has little information to work with and ends up creating more than correcting. That's where that plasticized skin effect and faces that look similar, but not identical, appear.<\/p>\n Colorizing a black and white photo is the clearest example of this boundary. The color information never existed in that film.<\/b> The model chooses likely colors from millions of examples.<\/p>\n The result is usually beautiful and exciting, and there's nothing wrong with that, as long as it's clear to the viewer that the color is a reconstruction. The dress may have been blue and come out green, and there's no way for the AI to know.<\/p>\n
\nShe fills in the gaps, she doesn't reveal them.<\/h3>
\nThe face is where the risk appears.<\/h3>
\nIncreasing doesn't mean gaining detail.<\/h3>
\nAlways keep the original.<\/h3>
\n<\/div>\nWhen AI really helps.<\/h2>\n
Colorization is a well-founded guess.<\/h2>\n