Photon rate

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Real life Rate of incoming light is fluctuating. Ideal Rate of incoming light is constant. End of exposure. End of exposure. Photon rate. Photon rate. Time. Time. How much fluctuation?. √ n. Dictated by Poisson ( pwasõ ) Distribution For n total photons in exposure, - PowerPoint PPT Presentation

Transcript of Photon rate

Photonrate

Time

End of exposure End of exposure

IdealRate of incoming light is constant

Real lifeRate of incoming light is fluctuating

Photonrate

Time

How much fluctuation?

√nDictated by Poisson (pwasõ) Distribution

For n total photons in exposure,

standard deviation =

Photons collected = n + √n

If n = 10,000 photons,Photons collected = 10,000 + √10,000 = 10,000 + 100 photons

10,000 photon

s

9,900photon

s

10,100photon

s

9,950photon

s

√n, so what?Variable brightness = noise!

Noise monsterOne of the photographer’s worst enemies

0 1000 2000 3000 4000 5000 6000 7000 8000 9000 100000%

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sqrt(n)/n

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(√(n

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Photons

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Canon 5DNikon D300Sony H9

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Photons

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Canon 5DNikon D300Sony H9

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Sony H9Sony H9

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Canon A570ISCanon A570IS

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Canon A570IS7.1 Megapixels1/2.5” sensor5.76 x 4.29mm (24.7mm2)Density: 3.48 μm2/pixel

ISO100 ISO200 ISO400

ISO800 ISO1600

Canon A570IS7.1 Megapixels1/2.5” sensor5.74 x 4.3mm (24.7mm2)Density: 3.48 μm2/pixel

0 500 1000 1500 2000 2500 3000 35000%1%2%3%4%5%6%7%8%

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images: dcresource.com

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Fuji F306.1 Megapixels1/1.7” sensor7.7 x 5.77mm (44.4mm2)Density: 7.27 μm2/pixel

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1600

images: dcresource.com

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Canon 30D8.2 MegapixelsAPS-C sensor22.5 x 15mm (337.5mm2)Density: 41.16 μm2/pixel

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images: dcresource.com

30D

30D

F30

F30

A570IS

A570IS

8.2 Megapixels22.5 x 15mm (337.5mm2)Density: 41.16 μm2/pixel

6.1 Megapixels7.7 x 5.77mm (44.4mm2)Density: 7.27 μm2/pixel

7.1 Megapixels5.76 x 4.29mm (24.7mm2)Density: 3.48 μm2/pixel

ISO100 ISO200 ISO400 ISO800 ISO16000%

1%

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ISO

Making matters worse, circuitry must occupy some space between each photowell – the more photowells, the more space circuitry takes up.

SummaryMore pixels, smaller sensor => less light per pixel => more noiseLess pixels, bigger sensor => more light per pixels => less noise

In theory, the biggest sensor with the least pixels will give us the best image, in terms of noise.

A 1-pixel sensor would be ideal.

With 1 pixel, we’d have low noise but no detail.

Many pixels => High detail, high noiseFew pixels => Low detail, low noise

The “Megapixel Myth”: Detail vs. Noise

Megapixels: Detail vs. Noise

Facebook profile picture: 4x6 studio print at 300dpi:

5x7 studio print at 300dpiStandard VGA TV:

1080p HDTV: 1280x1024 19” LCD monitor:

8.5x11in, 300dpi magazine spread:8x10 inkjetprint at 200dpi:

10x14in, 150dpi full-page spread in Daily Cal: Giant 20x30in poster print at 150dpi:

0.03 MP2.16 MP3.15 MP0.35 MP2.07 MP1.31 MP8.42 MP3.20 MP3.15 MP13.5 MP

How many pixels do we need?:

If you only look at pictures on the computer, 2-3MPIf you make non-poster-size prints (4x6, 5x7, 8x10), 3-4MP

More pixels beyond this don’t add detail, and contribute to greater noise