Reprinted from: http://www.igao7.com/news/201406/pelican.html
I believe you have seen the Nokia to cooperate with Pelican, the development of 16 array lens of the ultra-strong camera phone news.
The small part is also very interested in this lens, now from the small part of the camera to introduce the strength of the place.
Pelican Imaging, founded in 2008 and headquartered in the Mountain View city of California State, is the inventor of the mobile device battle-line camera. Current investors include Qualcomm and Nokia.
This lens is made up of 4*4 lenses, each of which captures a single color (red, green, blue) and fits into a photo. This will make the photos more pure color, but also better suppress the noise point. Speaking of which you may feel familiar, HTC One's UltraPixel technology was once mistaken for a similar technique, but in fact HTC One's camera is a technology that has a large sensor and uses a 4.3 million-pixel concentration.
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We see in its propaganda map, its camera is very thin, can well fit into the fuselage without projecting a piece (this point, the 808 of Nordson has been a lot of spit, although the imaging effect is very good, but the thickness is too difficult to accept). Nokia chooses to invest Pelican Imaging in the present moment of life and death, and it is very likely that it has a good volume control.
So what's so extraordinary about this array camera? Please look at the proofs below.
The above four proofs are taken out using the Pelican array camera (well, that's what the authorities say), you might think that these four pictures are just the same composition, set different focus shots, right? But in fact, this camera just shot a picture! The real shot is the first picture, the first one is the full-width focus, the whole picture, no matter how far or near the focus, is clear. The following three photos are then re-selected for focus after shooting by Pelican's own software. In other words, when shooting with the Pelican array camera, you don't have to think about whether your camera is focusing correctly, you just have to press the shutter according to the composition you like, and then you can re-select different focus points to focus on after shooting. Of course, if you like, you can also use full focus shot proofs output.
Well, generally speaking, the whole focus is 40 centimeters away from the scene can be displayed clearly, so full focus is not used to shoot macro. But that's the case based on a lens. The Pelican Array lens has 16 sub-lenses, and the small part estimate is that each lens, in addition to capturing different colors, also captures the focus from far and near to synthesize a full-focus picture. This will allow you to select the focus after shooting.
For example, the following proofs:
This sample is also a full-coke proofs, we can see that the distance from the lens of the nearest bicycle tires and the farthest wall trees are the correct focus.
The focus is then set on the bicycle tires through dedicated software.
The focus is on the bike at the center of the screen.
Set in the back of the wall, these proofs is it after the imaging and then focus on the demonstration. After the above proofs, we should be aware of its imaging principle.
With its dedicated software you can also select multiple focus points to make your photos more vivid.
In addition, the special software, you can also be smart to pick up the characters, so you can put away the people in your favorite places.
The above features are shown in the video below.
Official propaganda Video:
Http://v.youku.com/v_show/id_XNTUxOTA3Njky.html
Perhaps you will worry about this shot out of the size of the proofs will be very large ah? However, according to the official website, their unique image processing technology can control the photo to only about 20% larger than the normal photo capacity. The average photo size here depends on how much you use to shoot, but it's not clear what pixel the camera supports.
Finally, Nokia's pure scene technology plus Pelican's array camera in the end can play what kind of effect? Small series is also very curious, very look forward to. All this is left to the time to explain it!
Array-type camera