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Computational photography from selfies to black holes

vas3k.com

41–50 of 61 posts

Re: Computational photography from selfies to black holes

#41

Earlier quoted context omitted.

What's the problem with letsenhance.io? Honest question. I skimmed the article and didn't see anything off-putting.

Maybe the fact that they copy-pasted someone else's content. Someone worked hard on this article and that person is not properly credited for that work. Oh, and stealing ad revenue from the original creator.

[deleted]

Re: Computational photography from selfies to black holes

#42
post #9

So someday we can expect a $1000-ish smartphone which image quality-wise can compete with medium format gears like Fuji or Hasselblad?

I'd expect that at some point mirorless cameras will get close to feature parity at the computational photography part, and will beat smartphones handily by having the space for a good lens and slightly bigger sensors.

Cause all the tricks used on smartphones still work if you have a better lens and sensor. They will still yield these improvements. It's just gonna take a while for the manufacturers to catch up. Especially on the DSLR end, because of slow shutters and massive momentum.

Re: Computational photography from selfies to black holes

#43
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:(

Hi Vas3k! My name is Kate and I am Head of Content at Let's Enhance. We are very thankful for the given material, because it's highly related to us. And I want to clarify this unpleasant situation: I've directly talked with the author of the article - Vas3k and asked for the permission to publish this awesome material. I can attach the screenshots of our conversation. All the copyrights are reserved. We mentioned you…

Yes, I get this all the time too. Vaguely worded emails for permission to rip my stuff and any answer will be used as permission granted. You're in violation of copyright, and the author is right here to dispute your claim. As you are no doubt aware as students of copyright law you've now been told that your permission to copy has been rescinded which leaves you with only one option.

Re: Computational photography from selfies to black holes

#44
post #21

Earlier quoted context omitted.

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.

Define "smaller cameras". I (not so) recently replaced my Nikon D7100 with a collection of pro lenses with Olympus cameras (OM-D E-M1markII and OM-D E10markII to be specific). I could not be happier. The first one is small, has one of the best water/dust/freeze proofing available, extremely capable and customizable. Yes it has even smaller sensor than my APS-C Nikon had, but I can get better images with it. One inter…

Smaller = anything smaller than a consumer grade DSLR.

The form factor make the smaller units far more difficult to hold properly while shooting, lack the optical viewfinder in most cases, etc.

The only thing a person needs for Star trails is a tripod and the sky. Stars start to "trail" generally anything over 500/effective focal length in exposure time in seconds.

Built in focus stacking does sound useful if it works well and macro shots are of interest.

Hi res modes are fine but it can never make your pixels bigger - bigger pixels of the same generation more sensitive to light so less noise at higher isos.

I have canon glass so tried one of their mirrorless cams and found its Ergonomics completely different to DSLRs and personally not in a good way.

Re: Computational photography from selfies to black holes

#45

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…

Issue may be that the algorithms are trained on specific camera unit and gathering a large database of data from all possible cameras may be difficult even for big guy like google. Google puts a ton of work into their camera app and you can get clones that work on other devices with varying degree off success. For example I have mi5s that uses the same sensor as first pixel and get quite decent results with arnova's gcam clone.

Re: Computational photography from selfies to black holes

#46

Earlier quoted context omitted.

What's the problem with letsenhance.io? Honest question. I skimmed the article and didn't see anything off-putting.

Maybe the fact that they copy-pasted someone else's content. Someone worked hard on this article and that person is not properly credited for that work. Oh, and stealing ad revenue from the original creator.

I don't know if this was recently appended but at the end of the article there is this:

> 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.

Granted I still agree it's a blatant copy/paste and I also vote that dang replaces the link with the original.

Re: Computational photography from selfies to black holes

#47

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…

Issue may be that the algorithms are trained on specific camera unit and gathering a large database of data from all possible cameras may be difficult even for big guy like google. Google puts a ton of work into their camera app and you can get clones that work on other devices with varying degree off success. For example I have mi5s that uses the same sensor as first pixel and get quite decent results with arnova's…

I'm not referring to GCam clone. I'm asking can't someone build this commercially? Like an app company that does computational photography apps for each kind of camera sensor?

Re: Computational photography from selfies to black holes

#48

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…

The Pixel 4 also has a custom chip just for image processing which other phones do not, so you can't just port the code over to other phones.

Re: Computational photography from selfies to black holes

#49
post #48

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…

The Pixel 4 also has a custom chip just for image processing which other phones do not, so you can't just port the code over to other phones.

So the pixel 4 gcam port already works pretty ok on many phones.

The image processing speeds up the processing - I admit to it. But we have the 855 flagships which are probably a few seconds behind. This is ok with us.

I'm asking if anyone can hit the quality even given 5x more processing time .

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