Nokia 808 possess a super high resolution sensor having active sensor area of 7728 x 5368 pixels, more than 41MPixels. For 16:9 aspect ratio, it uses 7728 x 4354 pixels and 7152 x 5368 pixels for 4:3 aspect ratio, that means about 38MP at 4:3 aspect ratio, 36MP at 16:9. It has 1/1.2″ sensor which is almost three times the size of the sensors in most compact cameras which will give you much better quality.

Nokia 808 PureView lens and sensor specifications

Carl Zeiss Optics

Focal length: 8.02mm

35mm equivalent focal length: 26mm, 16:9 | 28mm, 4:3

F-number: f/2.4

Focus range: 15cm – Infinity (throughout the zoom range)

Construction:

• 5 elements, 1 group. All lens surfaces are aspherical

• One high-index, low-dispersion glass mould lens

• Mechanical shutter with neutral density filter

• 5 elements, 1 group. All lens surfaces are aspherical • One high-index, low-dispersion glass mould lens • Mechanical shutter with neutral density filter Optical format: 1/1.2”

Total number of pixels: 7728 x 5368

Pixel Size: 1.4um

Why do we need 41 MP camera?

This question is obvious. 41 MP for a mobile phone camera will look an overkill. Well, surely, no one need 41 MP images. Then why 41MP? With 41 MP sensor, we have 41 million pixels of image. Greater data means we will have more details for processing. Ideally 5 MP images are enough for normal photography. With large 41 MP sensor, pixel oversampling is possible which enhance the details of images and creates 5MP image.

What is Pixel Oversampling?

It’s a geeky term, and you may be confused about it. Each image is made up of pixels and a pixel can have only single color. We assign a color to a pixel. For a true 5MP sensor, we will assign the color captured from the sensor’s pixel. Whole view is just in 5MP. But with 41 MP, we have more pixels. In oversampling, we uses neighbouring pixels to create a super pixel. Suppose with 41MP, we use 7 neighbour pixels and assign an average color to the super pixel. Thus, we get more accurate color for a pixel. Thus resulting 5MP image from a 41MP image is much more noise free and realistic than we may have got with a 5MP sensor.

Pixel oversampling combines many pixels to create a single (super) pixel. When this happens, you keep virtually all the detail, but filter away visual noise from the image. The speckled, grainy look you tend to get in low-lighting conditions is greatly reduced. And in good light, visual noise is virtually non-existent. Which means the images you can take are more natural and beautiful than ever. They are purer, perhaps a more accurate representation of the original subject than has ever been achieved before oversampling eliminates Bayer pattern problems. For example, conventional 8MPix sensors include only 4Mpix green, 2Mpix red and 2Mpix blue pixels, which are interpolated to 8Mpix R, G, B image. With pixel oversampling, all pixels become true R, G, and B pixels. What’s more, based on Nyqvist theorem, you actually need oversampling for good performance. For example, audio needs to be sampled at 44 kHz to get good 22 kHz quality