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EOS main

First Lumia with Pureview, Nokia EOS leaks images and specs

The heat from Nokia’s Lumia 925 hasn’t even had time to cool off and we’re already being pummeled with a new Nokia device: sneaky images of a smartphone which will most likely be called the Nokia EOS have emerged care of mega-smartphone site, GSMarena and WPCentral. The images were taken by a twitter user Vizileaks who started the party with this tweet:

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The Nokia EOS is said to have a 41-megapixel PureView camera and a Xenon flash, but the exact megapixel count on the lens is unknown and is crossed over with two X’s.

Nokia EOS rumours are flying thick and fast, with sources saying that the mystery Windows Phone is in heavy testing at US-based telecoms AT&T. This will be Nokia’s first Windows Phone with a PureView sensor.

If you can cast your mind back to last year, Nokia launched the PureView 808, which was came bundled with the ugly stepsister of the mobile OS world, Symbian. It didn’t sell well, with some sources saying that it sold as little as 234 000 devices before Nokia swept it under the carpet.

Think about it — the combination of Nokia’s frankly drool-worthy 41-megapixel lens plus Windows Phone would be an enormous boon for the Finnish mobile phone makers. Nokia’s bread and butter are feature phones like the mighty impressive Asha range, this is how it makes it’s money. With the Nokia EOS, only the best hardware and camera tech will do and it’s most likely going to be priced on the iPhone-range of the money spectrum. So is US$400 — US$600 an acceptable price range for a phone that will have the best mobile snapper yet? Gaze deeply and lovingly into these leaked screenshots and decide for yourself.

WPCentral even managed to rustle up some specs for the Nokia EOS.

  • 41 MP camera with Xenon flash
  • Nokia Pro Camera
  • 32 GB internal
  • OLED Screen 768X1280
  • WP8 V 8.0.10322.71
  • FM radio
  • Flip to silence
  • Polycarbonate body
  • Takes a 35 MP picture and a 5 MP picture at the same time one to save one to share
  • Comes in yellow
  • No SD card
  • About 1 mm thinner than Lumia 920 with a big camera hump
  • No visible OS changes
shots of the Nokia EOS
left right

Nokia Eos On Grass

Next to a super-gross BlackBerry Touch, the EOS shines

Side Shots Of Eos

Looks a little thick and ugly, let’s hope Nokia slims it down.

The Back Of The Eos

The back is blurred here. Serial number perhaps?

The Front Of The Eos

Why is the bottom blurred out?

Eos Camera

Note the “XX” next to megapixel. Let’s hope it’s replaced by “41”.

Eos Rear

Nestled cosily in the grass, this is the best shot of the EOS yet.

Eos Main

The rear of the leaked EOS.


  • FactsAreFun

    Can somebody who knows the specs for these lenses tell us if a 41Mpixel sensor makes an sense in these cameras? I have a DSLR camera with 15 MPixels and the image quality is almost always limited by lens resolution. One has to stop down to the point where the lens errors roughly equal the lens diffraction limit to get past the resolution of the sensor. It seems to me that sampling the lens errors is a fairly useless exercise that only does on thing: artificially increase the phone owner’s data usage. Or maybe that is the actual plan?

  • Ronan Steyn

    Hi FactsAreFun,

    Thanks for your comment. This article explains how this works very nicely: http://techcrunch.com/2012/02/27/why-you-cant-dismiss-nokias-41-megapixel-phone/

    In short, it doesn’t take 41 megapixel photos, it collects 41 megapixels of data and compresses it into a smaller photo (roughly 5 megapixels in this case) and digitally reduces noise and sharpens the image. The larger sensor is the real story here, 5 times the size of the iPhone’s so it can collect a lot more data to produce much sharper images.

  • FactsAreFun

    If the lens doesn’t generate 41Mpixels of information, oversampling doesn’t buy you anything. You can’t sharpen an image digitally, if you don’t have the photons to create the necessary SNR, because your lens is so small. All you will do is to increase the noise level to the point where the image looks very grainy. If you then try to reduce the noise, you will lose image information.

    Oversampling makes sense in applications where you have extra signal to noise, like audio. In imaging, especially with small lenses, the necessary SNR to exploit oversampling isn’t there. I didn’t compare to the crappy iPhone camera, of course, but to a high end DSLR, which, despite lenses costing more than twice of this phone, still can’t do imaging much beyond 15MPixels.

  • Ronan Steyn

    From TechCrunch: “Now, when you make your sensor bigger, you can either keep the same resolution but have bigger wells or photosites (which detect light and make up pixels), which usually improves sensitivity. Or you can keep the same photosite size and just put more of them on the sensor, which improves resolution. In this case Nokia has done the second thing.

    But they’ve done it almost to an absurd amount, and they know that their lens, good as it is (and fairly fast — F/2.4 is solid, though there’s lots of distortion right now), can’t really resolve detail well enough that 41 megapixels would be necessary. Even on full-frame cameras that many pixels is questionable.

    So instead of just bumping this one spec and expecting it to sell itself, they built a whole photo system around the idea. The 808 camera doesn’t take 41-megapixel photos; it collects 41 megapixels of data and uses all that data to create a very nice photo of a much smaller size. Imagine a photo around 8000×5000 pixels that isn’t particularly sharp; now shrink it down to something significantly smaller — maybe around 3000×2500 pixels (~8MP), just as an estimate. You do it intelligently, sharpening and de-aliasing and doing noise removal.”

  • FactsAreFun

    Exactly. If a 10 times larger sensor in DSLRs with the best DSLR optics can’t easily produce true 15Mpixels, what are the chances for this combination of sensor and optics?

    In such a scenario more oversampling doesn’t result in sharper/less noisy pixels. It only results in more filtering operations for the same sharpness/noise that one can get with fewer pixels. It doesn’t matter how “intelligent” one tries to be with noise… if the SNR isn’t there, one can’t produce it with arithmetic.

    The one (and in my opinion only) winning argument for this architecture would be, that the optical anti-aliasing filter can be shifted to higher spatial frequencies. The higher sampling resolution then allows for a digital filter to take over the function of the optical filter. If the optics is low enough resolution, already, they may even do without an optical anti-aliasing filter, which my result in slightly lower optical losses and a cheaper sensor production process. Now that would make sense.

    Other than that, I think it’s mostly PR lingo. They bet on people mistaking their pixel count for actual resolution. We have seen the same PR play in audio with 128 bit digital filters in CD players etc… needless to say, the professionals knew that this was completely irrelevant on data that was noisy on the 18 bit level. It did sell well into the technically naive audience, though.

  • Ronan Steyn

    Completely agree with you FactsAreFun. It also reminds me of how “2% milk” is phrased ;)

    I think the number of megapixels these days is becoming increasingly irrelevant even in DSLR (eg. the difference between 15, 18, or 22), because the true picture quality comes from the camera’s processing power and sensor’s capabilities. Thanks for your insights.

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