Digital camera sensors
see also:
technical analysis of dSLR sensors for low light performance:
Digital sensors:
digital sensors consist of:
a sensor chip containing light-sensitive cells called photosites each of which are covered by a microlens which focuses the light into the photosite cell
in general, the larger the photosite, the more efficient it is and thus the greater dynamic range it can capture & the less noise it generates at higher ISO values (see below).
the size of the photosite also determines the circle of confusion which in turn is a component in the depth of field which results.
in general, with most manufacturers targeting a resolution of about 10mp irrespective of sensor size, this means the smaller the sensor, the smaller the photosite.
cameras can reduce noise at high ISO but usually at the expense of sharpness.
there is no perfect sensor size, all sensor sizes are a photographic compromise:
larger sensors:
allow more pixels and thus potential resolution for the same size photosites
this means potentially larger, higher quality prints although a 10mp dSLR will give a very good 20"x30" print anyway.
allow larger photosites and thus more dynamic range, less noise at high ISO, and larger circle of confusion & thus less depth of field and less limitation of resolution due to diffraction at smaller f stops.
this means better for astrophotography, portraits and perhaps single shot landscapes without gradient filters
if photosites are above 8 micron then high quality legacy 35mm lenses are likely to be adequately matched in resolution terms.
BUT if photosites are less than 7-8 micron, then the lenses may be the limiting factor in resolution, especially zoom lenses and dedicated lenses designed for digital may be required to get the most out of the sensor (hence Olympus ZD lenses).
smaller sensors:
tend to have more depth of field (ie. more objects appear sharp)
very handy in macrophotography, self-portraits (hence the point and shoot cameras are often used this way)
useful in telephotos with wide apertures to achieve both adequate shutter speed and depth of field
better for beginners or the casual photographer who is not aware of the need to select the best subject to accurately focus on, and is happy for the camera to do their thinking.
allow smaller lenses for a given telephoto reach
allows better portability for bushwalking, travel, etc.
allows smaller & lighter cameras
allows better portability for bushwalking, travel, etc.
if using smaller photosites, allows use of weaker anti-aliasing filters as sensor resolution approaches optical resolution.
ideally these small sensor cameras should not have more than 6mpixels as there is no gain in image quality at higher megapixels and indeed less image quality at the cost of bigger file sizes.
see 6mpixels.org
personally there are good reasons to have different cameras of different sensor sizes that will complement each other:
small sensor point and shoot carry anywhere camera
in this scenario, I am not convinced of the benefits of having a bigger non-dSLR camera with a small sensor such as the prosumer cameras (eg. Canon G series or S series with 2 micron photosites) although they may suit a group who don't want to pay too much for a camera with a superzoom that is still relatively light and compact. Personally, image quality will be much better in a medium sensor camera that allows less noise at higher ISO and more dynamic range than in these cameras and with better AF capabilities.
remember, sensors with photosites smaller than 2 micron will tend to have noise issues above ISO 200 and diffraction issues impairing resolution at apertures smaller than f/3.5
medium sensor such as 2x crop Four-Thirds sensor as used in Olympus cameras
~4.7 microns = 5.5x area of a 2 micron photosite as in point and shoots and Canon G9
the 2x crop provides a bigger differential in its advantages from a 1.3x or full frame crop as would a 1.6x crop camera (if you are thinking of a 1.6x crop why not get a 1.3x crop or full frame camera)
sensors with photosites 4-5 micron will tend to have noise issues above ISO 640-800
full frame sensor (ie. 35mm size sensor or perhaps a 1.3x crop sensor)
highest image quality for the serious amateur or pro in a portable outfit although getting big & heavy
sensors with photosites 5-6 micron will tend to have noise issues above ISO 800-1600
sensors with photosites 6-8 micron will tend to have noise issues above ISO 1600-3200
medium format sensor for the studio professionals
best image quality but big, heavy, only 1fps, very large files so often need to be tethered to a computer
before light hits the digital sensor it first passes through:
infra-red light blocking filter (IR block):
removes most IR light which otherwise tends to degrade the image quality by having a different focus point to visible light.
low-pass anti-aliasing filter:
this in effect adds a degree of blur otherwise very fine detail that the sensor cannot detect produces a moire pattern (see Nyquist theorem at bottom of page)
colour filtration mask:
this provides a colour filter for each photosite and then the camera gathers data from adjacent photosites to determine the colour value for a given pixel.
Bayer mask:
the most common pattern is the Bayer filter (developed by Kodak's Bryce Bayer in 1976) which consists of 50% green, 25% red & 25% blue
Foveon sensor:
this uses a layered approach to colour filtration
a potentially new pattern with 2-4x improved light sensitivity is Kodak's new filter (2007) which adds a panchromatic photosite and should be available for manufacturers in 2008.
some sensors are mounted in a frame that can be moved to counter-act camera movement - sensor-based image stabilised sensors
see image stabiliser
some sensors can output a live image to the camera's LCD to give live preview
see Live Preview
this is an important specification of as sensor as it determines its ability to capture detail in dark as well as light areas, and in addition, the degree of noise produced.
in general, the larger the size of the photosites on the sensor, the greater their dynamic range, hence for a given megapixel count, the larger the sensor, the greater the dynamic range potentially available & the lower the noise at high ISO.
dynamic range is the log of (the largest value possible / the smallest value possible) and this value is multiplied by 20 to give a dynamic range in dB.
for film, dynamic range in dB = 20 x log (maximum film density / minimum film density)
the smallest possible value in digital systems is 1, while the maximum value is 2 (bit depth)
dynamic range of sensor in DB = 20 x log (maximum CCD well capacity / total sensor noise (rms) )
eg. Kodak KAF8300CE CCD used in the 8 megapixel 4/3rds size Olympus E300 SLR:
maximum CCD well capacity = 25,500 electrons; total sensor noise = 16 electrons (rms);
thus dynamic range = 20*log(25500/16) = 64.04 dB (Kodak erroneously quotes 64.4 dB)
thus the camera only needs a 12 bit A/D to maximally utilise this, any more would just add expense, power consumption & slow the processing down.
the camera then uses a A/D converter of matching dynamic range to convert the analog signals into a digital value, the dynamic range of an A/D converter in dB = 20 x log (2 (bit depth of converter) ), thus a 8bit A/D = 48dB, 10bit A/D = 60dB, 12 bit A/D = 72dB, and a 14 bit A/D = 84dB.
a 10 bit A/D (eg. most non-SLR prosumer cameras in 2005) gives a photographic dynamic range similar to transparency film of about 5-6 stops and currently, will display obvious noise when output is amplified to ISO values > 200.
digital images are most commonly stored as 8bit but using camera RAW files, one can save them as 16 bit per channel format (as TIFFs) although, but only the maximum A/D bit rate for the camera will actually be used.
film scanners:
to put the above in context, the higher the dynamic range of a film scanner CCD, the more information you can get from the darkest areas of the slide, so high dynamic range is a good and desirable property of a scanner, this dynamic range value is usually given as its Dmax (this needs to be multiplied by 20 to get a dB value).
a scanner with Dmax of 2.0 (ie. 60dB) will be adequate for most negatives
slide film however may require a Dmax of 3.5 or for Velvia, even 4.0 to get the deepest blacks.
no matter what the A/D bit rate is in a scanner, the limiting factor will be the lowest dynamic range of either the scanner sensor (usually 58-72dB currently) or the A/D converter
Sensor resolution:
Electronic sensors have a thick cover of filters that deviate the incident light if it comes in acute angles. Thus when the telecentricity coefficient (see below) is low, one can expect vignetting to increase unless special sensor designs are used to mitigate it (such as angled microlenses as on the new digital Leica M with 1.33 crop but this means they had to do away with an IR filter).
For this reason Olympus and partners developed the 4/3rds mount to minimise this problem - the other advantage of this design is that the short lens to flange distance means almost any legacy lens from another manufacturer can be adapted and still focus at infinity.
But in reality, it seems that with standard sensor designs, a telecentricity coefficient of 1 is probably adequate as evidenced by the fact that the Canon APS-C is not significantly better than the Canon 35mm digital in terms of vignetting.
see http://www.luminous-landscape.com/essays/Leica-M8-Perspective.shtml which gives this table:
Mount and format |
Lens to flange distance (millimeters) |
Sensor diagonal (millimeters) |
Telecentricity coefficient |
A |
B |
C = A/B |
|
Nikon F/35mm |
46.50 |
43.3 |
1.07 |
Nikon F/DX |
46.50 |
28.4 |
1.64 |
Canon EOS/35mm |
44.00 |
43.3 |
1.02 |
Canon EOS/APS-C |
44.00 |
27.0 |
1.63 |
Contax N/35mm |
48.00 |
43.3 |
1.11 |
Pentax K/35mm |
45.46 |
43.3 |
1.05 |
Pentax K/APS-C |
45.46 |
28.3 |
1.61 |
Minolta AF/35mm |
44.50 |
43.3 |
1.03 |
Minolta AF/APS |
44.50 |
28.4 |
1.57 |
Olympus OM/35mm |
46.00 |
43.3 |
1.06 |
38.67 |
22.5 |
1.72 |
|
Leica R/35mm |
47.00 |
43.3 |
1.09 |
Leica R/1.37 crop |
47.00 |
31.7 |
1.48 |
Leica M/35mm |
27.95 |
43.3 |
0.65 |
Leica M/1.33 crop |
27.95 |
32.4 |
0.86 |
Sampling, aliasing, anti-aliasing and Nyquest theorem: