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by dgacmu
2799 days ago
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Sorry, but no - stacking is as much about dynamic range adaptation as noise, and that's why I'm arguing against your terming it a "ghetto version of a long exposure". It's not. A long exposure has a fundamental problem with saturation, as well as noise. It's not just about lack of stabilization, there's also the motion of the subject. Computational approaches can compensate for subject motion - long exposures cannot. Computational approaches can do dynamic range adaptation to avoid blow-out due to CCD pixel saturation. Long exposures cannot. If you read the slides from the Levoy talk I cited, you'll note that they explicitly choose to under-expose the individual exposures to minimize motion blur and blowout. (Marc is now at Google continuing his work on computational photography, and his group contributes to many of the cool things you see on the Pixel series.) |
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But they don't. They don't in this example. Moving subjects are a blur. As an aside, of course stacked photo frames are underexposed because it wouldn't make much sense otherwise.
Computational photography can do interesting things and holds a tremendous amount of promise. However every single example that I can find of this mode -- across the many astroturfed pages -- show a longer exposure than what the stock app normally allows. And with that the requisite blurring of any moving subject.