[deleted post]You consider people who knows a lot about scientific facts as boomers? How lame....
Well I'd rather be considered a boomer for having lots of knowledge than being an uncultured swine that happens to mess around with people despite not having any idea about a certain topic ;))
Fearghast, 07 Sep 2020I love the irony how we all despise RGBW on LG TVs :D but for photography it can be viable solution.Because pixels on a screen has a far different purpose to pixels on a camera sensor. Besides, I haven't actually seen or heard anyone complain about such setup.
Actually using white pixels isn't entirely new to increase light sensitivity.
Black and white sensors actually did not sell well.
This is kind of like a hybrid black & white sensor, so actually in theory, good for the image sensor competition.
cheapsk8, 07 Sep 2020With RGB Bayer every 16 cells have 4 red and 4 blue. With this RGBW pattern every 16 cells onl... moreColor can be extrapolated from adjacent cells.. They are loosing the fine details with quad bayer anyway.. Might as well boost lowlight sensitivity instead.. Make those 64MP, 108MP to good use.. Condensed to 12MP it will give beautiful pictures.. With future advanced A.I however even a 2MP picture can be enlarged to 12MP with A.I filling in the details.. It will not be accurate BUT it will be beautiful.. Then the megapixel race and multiple sensor race will cease.. I wonder what we will get 2 papers down the road.. What a time to be alive!
[deleted post]This kind of sensor already exists.
Imx278 used by Huawei P8 and Oppo R7+ as rear camera and front camera of Sony XZ1, XZ2 Premium and XZ3.
Nothing new here .....
200% more or 200% as much? 200% more = 300% as much. 200% as much = 100% more
YUKI93, 07 Sep 2020Hmmm, looks interesting. I wonder how that RBGW Bayer arrangement will perform in low light co... moreNo more than 30-40% increase of sensibility.
To achieve 200% vivo claims, it needs whole monochrome sensor which is 3x more light gathering than regular sensor.
Hmmm, looks interesting. I wonder how that RBGW Bayer arrangement will perform in low light condition.
LG Superfan, 07 Sep 2020Can 2021 be the Race of Odd Bayers? RGGB, RYYB, RGBW what's next RYYBW? RGGB is the standard pattern popularly called RGB.
Because human eye has 50% of green.
Unlike RGB displays that go 1:1:1 ..
Can 2021 be the Race of Odd Bayers? RGGB, RYYB, RGBW what's next RYYBW?
The Smart Idiot, 07 Sep 2020Poco is not related to bbk electronics. Check your factsHe admitted his mistake, he responded to the wrong comment
cheapsk8, 07 Sep 2020With RGB Bayer every 16 cells have 4 red and 4 blue. With this RGBW pattern every 16 cells onl... moreWhat they could do is make the rgbw sensor a separate low light lense while a more color accurate main camera for daylight, then I wouldn't complain.
Anonymous, 07 Sep 2020And worse colour accuracy than samsung and apple combined.
Anyway, if ppl cared about colour... moreSensor or hdr is not at fault, you can use another color sensor and AI to do some math. If you got anything more than black output, that is.
If used right hdr can perform as comparably to big pixels without hdr, similarly with removing ir/.. filters, it would made more sense in low light(not removed through day) or when shooting in certain XYZnm mode.
Ryyb is not as juicy as rgb but its only because its new type not working perfectly yet. Also do not forget what can color sensors and AI do, they can bring back colors from b&w picture, but you got additional sensors on board for accuracy using real feedback as opposed to guessing.
Now I wonder what pattern got our or animal eyes... we could learn a lot.
Poc Poc Poco, 07 Sep 2020Poco x3 will destroy vivo. Poco is better than Vivo I thinkIn what way?
Poc Poc Poco, 07 Sep 2020Poco x3 will destroy vivo. Poco is better than Vivo I thinkNice joke. Poco just rebrands xiaomi.
With RGB Bayer every 16 cells have 4 red and 4 blue. With this RGBW pattern every 16 cells only have 2 red and 2 blue? Sure, you get 200% more light but you lose 50% color accuracy. The question is, why? Why? Why?