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Decoding How Super Res Zoom Works on pixel 3 and 3xl....

Google's latest flash ships are here, and have headline feature cameras, like the previous two generations. Still more computer magic has penetrated the camera on pixels 3 and 3 XL, which includes something called Super Race Zoom. This is actually the 'growth' feature we are all waiting for, but how does it work?

              A fast moving bus in a burst of images. Left: Merge without robustness model. Right: Merge                                                                  with robustness model.

Ryan printed it in its Pixel 3 review - even if it was not as good as optical zoom - it was surprising because of the results - and now a post on the Google AI Blog is intensive in the mechanics of the feature. The previous attempts to improve digital zoom are always rested to measure missing details in a single crispy image, but Google's new method is a bit more complex. Digital photographs already use a process called Demosysing to fill some space - two thirds of some images - but digital zoom is so much that the results are not so good.

                                          Multiple images can be combined to fill in details.
What is Google's dependence on something that is already a good experience: Explode photography. It is used for the best-of-range HDR + algorithm of pixels, where it takes multiple sequential images and combines them together to create a fast dynamic range. Multiple images can be combined to fill details. With super race zoom, what's important is that the blasted images taken by a look are slightly different. Natural hand smoke is always good enough to get different scores, but if your hands are steady, the pixel 3 camera lens will actually try a little bit to reflect it. With many images, even with the pace of every pixel movement, the Google Camera app is able to get digital zoom ahead of the time before it can create data from everyone to create a photo with more details than before. There are plenty of additional challenges in this process, which you can read in Google's entire blog post. It says that the results are approximate compared to the photos captured using a 2x optical zoom lens on a competitive smartphone, and this seems to be a very accurate claim, which does not make any sense.



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