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Computational photography from selfies to black holes

vas3k.com

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Re: Computational photography from selfies to black holes

#11

Post by sandGorgon »

here's my question - why isnt there a computational photography app startup that works on these phones (either android or iphone).

Let's take android - the snapdragon 855 is a very standard flagship CPU and is on tons of phones (including the 450$ Xiaomi K20 Pro). Why isnt there a computational photography app that works on these phones ?

Why is Pixel 4 - which uses the same 855 chip - the only one that has this software. Is it patent encumbered ? or is there some massive dataset deep learning stuff involved.

I'm surprised that there isnt a startup that is building these apps out there.

Re: Computational photography from selfies to black holes

#12

Post by ryandamm »

roywiggins wrote: post #3

> This approach pioneered by the guys, who liked to take pictures of star trails in the night sky. Even with a tripod, it was impossible to shot such pictures by opening the shutter once for two hours Yes, but also you can't leave a digital sensor collecting for two hours, the pixels start saturating and the noise builds up- not like film, which can do truly long exposures.

For what it's worth, film also suffers from reciprocity failure (nonlinear response at extended exposure times with low flux).

Some things were never easy.

Re: Computational photography from selfies to black holes

#13

Post by ryandamm »

sandGorgon wrote: post #11

here's my question - why isnt there a computational photography app startup that works on these phones (either android or iphone). Let's take android - the snapdragon 855 is a very standard flagship CPU and is on tons of phones (including the 450$ Xiaomi K20 Pro). Why isnt there a computational photography app that works on these phones ? Why is Pixel 4 - which uses the same 855 chip - the only one that has this soft…

Keep in mind this is a breezy review / mashup of things that are commercially viable, commercially presumed (already built into everything), and academic curiosity, without much distinction between the categories. Fun read, but don't extrapolate too much from this article.

Re: Computational photography from selfies to black holes

#14

Post by est31 »

sandGorgon wrote: post #11

here's my question - why isnt there a computational photography app startup that works on these phones (either android or iphone). Let's take android - the snapdragon 855 is a very standard flagship CPU and is on tons of phones (including the 450$ Xiaomi K20 Pro). Why isnt there a computational photography app that works on these phones ? Why is Pixel 4 - which uses the same 855 chip - the only one that has this soft…

What do you mean? There is a whole category of apps out there: https://play.google.com/store/search?q=face%20swap&c=apps

Re: Computational photography from selfies to black holes

#15

Post by acrefoot »

ryandamm wrote: post #10

This article is completely, utterly wrong as soon as it starts talking about anything plenoptic. Please disregard after that point as there are serious factual errors, particularly regarding what Google did or didn't do with Lytro. (Source: I'm in the VR / plenoptic space, knew a bunch of people at Lytro, some of whom are now at Google. Timelines and facts do not match this article's assertions.)

I got a chance to work with a lightfield camera for a class project a few years before Lytro shipped its first cameras, so I was sad to see it struggle as a consumer product. Can you shed more light on what the article should have written?

Re: Computational photography from selfies to black holes

#16

Post by LegitShady »

m463 wrote: post #8
tomxor wrote: post #6

This is all really cool, but, there's one thing you can't make up for enough with processing: optical zoom, (digital zoom, however much temporal super resolution trickery, has a different angle).

DSLRs have exceptional lenses with exceptional but large sensors, which means the zooms are modest (up to around ~600mm) So the really interesting long focal lenght cameras are the all-in-one superzoom cameras like the canon sx70hs and nikon p1000. They accomplish the high magnification by using a sort-of-good lens with a sort-of-good small sensor, achieving up to 3000mm "equivalent" zoom. Unfortunately, the "pro-sum…

The smaller cameras never really convjnced me as real DSLR replacements - they lacked the versatility and ergonomics of the DSLR and the smaller sensors meant more noise especially in dark scenes.

The first camera that I use that has started being ok is the pixel phone cameras using night sight to improve overall resolution and detail.

Re: Computational photography from selfies to black holes

#17

Post by foldr »

ryandamm wrote: post #12
roywiggins wrote: post #3

> This approach pioneered by the guys, who liked to take pictures of star trails in the night sky. Even with a tripod, it was impossible to shot such pictures by opening the shutter once for two hours Yes, but also you can't leave a digital sensor collecting for two hours, the pixels start saturating and the noise builds up- not like film, which can do truly long exposures.

For what it's worth, film also suffers from reciprocity failure (nonlinear response at extended exposure times with low flux). Some things were never easy.

Reciprocity failure doesn't stop you doing long exposures. It actually helps, if your goal is to make the exposure as long as possible. See e.g. http://itchyi.squarespace.com/thelatest/2010/7/20/the-longes...

Digital sensors obey the reciprocity law to a much greater extent than film: https://photo.stackexchange.com/questions/37241/does-recipro.... The problems the OP mentions are not related to reciprocity failure.

Re: Computational photography from selfies to black holes

#20

Post by rozhok »

vas3k wrote: post #18

Usually I don’t mind reposting my articles but with a direct reference to original at the beginning https://vas3k.com/blog/computational_photography/ Let’s be respectful to the original author, I spent couple of months writing it:(

>The article was originally published by Vas3k in https://vas3k.com/ on 30.06.2019 Let's Enhance team is very thankful for given materials.

What a shame! They've completely rip-off your article and "thankful" for that!

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