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Re:The Limits of Computational Photography by SSLy on Tuesday January 31, 2023 @04:52AM (#34593263)
>camera manufacturers simply don’t have the same compute available.

what forbids them from buying the competitive SoCs from Qualcomm? Pride?

Re:The Limits of Computational Photography by scriptproof on Tuesday January 31, 2023 @05:36AM (#34593530)
They would have to rewrite entirely their software. There had been some attemps to use these Qualcomm processors in cameras (the Yi M1 for example) and the result was terrible, the autofocus specially.
Re:The Limits of Computational Photography by _visgean on Tuesday January 31, 2023 @06:15AM (#34593767)
i think the battery consumption is also quite bad.
Re:The Limits of Computational Photography by zirgs on Tuesday January 31, 2023 @06:32AM (#34593856)
Power consumption is the main issue.

Software bloat is another. Current digital cameras start up and are ready to shoot almost instantly.

But it takes a while for a phone to boot up.

Photographers don't want that.

Re:The Limits of Computational Photography by astrange on Tuesday January 31, 2023 @08:11AM (#34594599)
The much larger sensors on a dedicated camera take longer to read out / have physical shutters / are very power hungry, so doing bursts is just a worse tradeoff on a dedicated camera than on a phone.

Also, the camera market is much smaller than the phone market. Also, most camera companies are Japanese and Japanese companies are generally speaking not as good at software as they could be. (Though this is getting less true.)

Re:The Limits of Computational Photography by joking on Tuesday January 31, 2023 @08:12AM (#34594606)
They don't really even have to do that, they could use the iPhone soc, but the pairing between the phone and the cameras it's not optimal.
Re:The Limits of Computational Photography by buildbot on Tuesday January 31, 2023 @11:08AM (#34596942)
Huge amounts of power and data - the power cost of sending 48MP over a PCB vs. over wifi is 12 orders of magnitude. 40pJ Vs . 2.5J !!!!