• sensor dynamic range
• sensor sizes
• image aspect ratios
• telecentricity
• sampling, moire, anti-aliase filter and Nyquest theorem

see also:

• photography main index
• how to clean a camera sensor
• image dynamic range
• image noise
• DxO Mark analyses of sensor performance
• 6mpixels.org
• technical analysis of dSLR sensors for low light performance:
  • http://www.clarkvision.com/imagedetail/digital.sensor.performance.summary/ 
  • http://theory.uchicago.edu:80/~ejm/pix/20d/posts/tests/D300_40D_tests/ 

• 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 (DOF) 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.
• 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
    • limited advantages over a smartphone
  • medium sensor such as 2x crop Micro Four Thirds system sensor as used in Olympus cameras
    • 5.5x area 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)
  • 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
  • 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
  • see digital SLR cameras and my tips for buying a digital camera.
• 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.
      • see Kodak announcement June 2007
• 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

• see also: http://www.dpreview.com/learn/?/Glossary/Camera_System/Sensor_Sizes_01.htm 
• although for the same technology, the smaller the photosite pitch, the less dynamic range & lower quantum efficiency, the more noise, as technology improves smaller pitch can be created with better than expected noise BUT there are laws of physics that limit this (eg. wavelength of light is about 0.75 microns) and thus at current technology in 2006:
  • sensors with photosites down to about 6.8 microns produce the highest quality, with little if any image quality degradation over ones with larger photo sites
  • sensors with pixels between about 5 microns and 6.8 microns are capable of excellent image quality, but are being pushed close to the limits of current technology when used at higher ISO settings, and suffer in this regard when compared with sensors with a larger pixel pitch.
  • physically larger sensors will always have advantages over smaller ones. This means that (other factors aside) image quality from medium format will be higher than full-frame 35mm, which will be better than APS size, which will have an edge over 4/3.
  • on the other hand small sensors have their own good points:
    • more depth of field - very useful in macrophotography, casual & travel photography, etc.
    • allows smaller cameras and lenses - more portable and less intrusive.
  • it is unlikely that you will be excited by the difference in output or resolution seen unless you are doubling the number of pixels on a sensor - just going from 8 mpixels to 11mpixels won't give you a substantial difference in print quality.
• the smaller the sensor, the deeper the depth of field, which means easier point-and-shoot and macro-photography but may make it difficult to emphasise the subject by blurring foreground & background for subjects at a portrait distance.
• the smaller the sensor, the higher the quality lens required to achieve a given resolution, thus the need for especially designed lenses for digital cameras
• consumer cameras:
  • 1/3.6“ style = 3x4mm
    •  megapixel
  • 1/3.2” style = 3.4×4.5mm
    •  megapixel
  • 1/3“ style = 3.6×4.8mm
    •  megapixel
  • 1/2.7” style = 4×5.4mm
    •  megapixel
  • 1/2.5“ style = 4.29×5.76mm
    • 5 megapixel (2004 eg. Panasonic FZ20)
    • at 1.76 µm pixel pitch then 8 megapixel (2007 eg Canon S5 IS, Panasonic FZ18)
  • 1/2.35” style  
    • at 1.9? µm pixel pitch then 8 megapixel (2007 eg. Fuji S8000fd 3264×2448)
  • 1/2.3“ style = 4.7×6.3mm?
    • at 2.0 µm pixel pitch then 7 megapixel (2006 eg. Olympus Stylus 7xx waterproof series 3072×2304)
    • at 1.9 µm pixel pitch then 8 megapixel (2007 eg. Olympus SP-560UZ 3264×2448)
  • 1/2” style = 4.8×6.4mm
    •  megapixel
  • 1/1.8“ style = 5.32 x 7.18mm
    • at 2.8 µm pixel pitch then 5.2 megapixel (Olympus C5050, Canon Powershot S500) 
    • at 2.2 µm pixel pitch then 8.3 megapixel (2004, eg. Panasonic FZ30)
    • at 1.9 µm pixel pitch then 10 megapixel (2006: Canon G7 3648×2736)
  • 1/1.75” style 
    • at ~2 µm pixel pitch then 10 megapixel (2007 eg. Ricoh Caplio GX100 3648×2736)
  • 1/1.7“ style = 5.7×7.6mm
    • at 2.05 µm pixel pitch then 10 megapixel (2005 eg. Sharp 3766×2801)
    • at 1.9 µm pixel pitch then 12 megapixel (2007: Canon G9 4000×3000)
  • 1/1.6” style = 
    • 9 megapixel (2005 eg. Fujifilm Finepix S9000)
  • 2/3“ style = 6.6 x 8.8mm
    • at 3.4 µm pixel pitch then 5.2 megapixel (eg. Olympus E-20)
    • at 2.7 µm pixel pitch then 8 megapixel prosumers of 2004 such as Olympus C8080, etc
  • 4/3 style: = 13.5 x 18.0mm
    • Micro Four Thirds system - compact cameras with inter-changeable lenses
    • at 4.7 µm pixel pitch then 10 megapixel
    • see below for 4/3 style dSLRs
• digital SLR cameras:
  • 4/3" style = 13.5 x 18.0mm
    • especially designed for digital SLR cameras
    •  ⇒ smaller, lighter lens for same field of view cw larger digital SLR CMOS sensors below
    • 35mm film lens crop value = 2.0
    • 1.33 aspect ratio
    • at 6.8 µm pixel pitch then 5.6 megapixel (eg Olympus E-1)
    • at 5.7 µm pixel pitch then 7.5 megapixel (eg Olympus E-330 2006)
    • at 5.4 µm pixel pitch then 8 megapixel (eg Olympus E-300/500)
    • at 4.7 µm pixel pitch then 10 megapixel (eg Olympus E-410/510/E3 2007)
  • Foveon x3 CMOS style = 13.8 x 20.7mm
    • 1.5 aspect ratio
    • eg. Sigma SD9 at 9.12 µm pixel pitch ⇒ 3.54 megapixels x 3layers = 10.29 megapixels
  • Nikon DX series = 15.6 x 23.7mm
    • 35mm lens used on this have 1.5x effective focal length
    • 1.52 aspect ratio
    • Nikon D1x has 5.93 x 11.8 µm pixel pitch with twice as many horizontal as vertical ⇒ 5.33 megapixels
    • Nikon D200 (2005) has 10.2 mpixels
    • Nikon D2x (2005) has 12.2 mpixels
    • at 5.5 µm pixel pitch then 12.3 megapixel (eg. Nikon D300 2007)?
  • Canon EOS APS-C style = 15.1 x 22.7mm 
    • ⇒ allows use of 35mm film lens with 1.6x field crop and 3:2 aspect as for 35mm film.
    • pixel density is 2.56x that for an equivalent megapixel full frame, but as it uses the central region of a 35mm film lens only, then the impact on telephoto lens resolution requirements is not as great as first seems at the poorer resolution at the edges is not used.
    • at 6.4 µm pixel pitch then 8 mp Canon 350D actually 22.2mm x 14.8mm
    • at 5.7 µm pixel pitch then 10mp Canon 40D 2007 (3888×2592)
  • Fujifilm super CCD = 15.5 x 23.0mm
    • 12.9mpixel (S3 Pro)
  • Canon 1D APS-H =  19.1 x 28.7mm
    • 1.3x crop, 1.5 aspect ratio
    • eg. Canon 1D series
    • at 7.4 µm pixel pitch then 10mp Canon 1DMIII 2007 (3888×2592)
  • full frame CMOS  = 24x36mm 
    • ⇒ same size as 35mm film & thus allows use of 35mm lens at same field of view
    • at 8.8 µm pixel pitch then 11.4 megapixel (eg. Canon EOS 1Ds)
    • at 8.5 µm pixel pitch then 12.1 megapixel (eg. Nikon D3 2007)
    • at 8.2 µm pixel pitch then 12.7 megapixel (eg. Canon EOS 5D)
    • at 7.2 µm pixel pitch then 16.7 megapixel (eg. Canon EOS 1Ds MII)
    • at 6.4 µm pixel pitch then 21.1 megapixel (eg. Canon EOS 1Ds MIII 2007)
    • at 5.9 µm pixel pitch then 24.8 megapixel (eg. Sony chip 2008 6096×4056)
• medium format sensors:
  • 37x37mm sensor:
    • designed for Hasselblad bodies
    • 16 mpixel
  • 48x36mm sensor:
    • designed for Mamiya 645AFD & RZ67ProIID camera bodies
    • 22 mpixel
  • 49x36mm sensor:
    • designed for Hasselblad bodies
    • 22 -39 mpixel
• astronomy sensors:
  • DALSA a custom-made sensor for Semiconductor (2006):
    • 111mpixel, 4”x4“, 9µm pixel pitch sensor - 1st sensor > 100mpixels.

• to see a significant improvement in prints due to number of pixels alone, you need to at least double the number of pixels and even then the lens must be capable of resolving this resolution, and there is perfect focus, no subject or camera movement, and dynamic range (ie. digital noise) is not significantly worse.
• in addition, subject matter can impact on how much one can enlarge an image - portraits tend to enlarge better than landscapes - hence part of the reason why many use panorama stitches for landscapes to give sufficient detail in enlargements as well as breadth of image.
• so let's see what effect we have of going from a 10mp camera with well matched lenses to a 21mp camera with well-matched lenses:
  • the Canon 1D Mark III at 10mp creates images 3888×2592 pixels and thus without software interpolation, can produce native prints at 250dpi to 15.6” x 10.4“
  • the Canon 1Ds Mark III at 21mp creates images 5616×3744 pixels and thus without software interpolation, can produce native prints at 250dpi to 22.5” x 15“
  • so the BEST the 1Ds can do if it had ideal conditions such as matched lenses, etc is 44% bigger prints
  • BUT in reality, few full format 35mm lenses are capable of providing sufficient resolution to realise this improvement wide open and thus you may just be getting larger files to handle and store with not much more actual detail extractable from them.
    • the 1DMIII has a sensor resolution of 135 pixels/mm while the 1DsMIII has 156pixels/mm which means the lens is more likely to be the limiting factor.
  • Furthermore, one can usually use software interpolation to take a 10mp image to a 20”x30“ print or even up to a 30”x45“- most users will not be needing to produce a print bigger than this.
  • Lastly, increasing the number of pixels on a same size sensor means the photosites must become smaller and thus lower dynamic range and higher digital noise, so more pixels is not necessarily better!
• it is said that current Canon L series lenses are only just adequate for the 16.7mp Canon 1Ds Mark II camera but better lenses will be needed to make the most of a 21mp sensor of the same size.
• it would be thus reasonable to assume that in resolution terms, lenses not specifically designed to match digital sensors are likely to be the resolution bottleneck if sensor resolution exceeds 135 pixels per mm.

• lower sensor resolution which match legacy 35mm or medium format lenses nicely:
  • 22 mp Hasselblad HD3-22 49×36.7mm = 111 pixels per mm 
  • 21.5mp Mamiya 645ZD 36mmx48mm = 111 
  • 12.7mp Canon 5D = 121
  • 12.1mp Nikon D3x = 118
  • 10mp Canon 1D Mark III = 135 - perhaps a perfect compromise when using 35mm full frame lenses although 1.3x crop is an issue for wide angle work.
• high sensor resolution means lenses designed for 35mm cameras will be unlikely to have sufficient resolution to match the sensor, especially if used wide open or zoom lenses, hence unless using specially designed high resolution digital lenses, the increase in pixels is just creating larger image files with no further detail:
  • 39mp Hasselblad HD3-39 49×36.7mm = 147 pixels per mm ⇒ hence new range of digital lenses
    • HD3 vs Leica M8 
  • 21.1mp Canon 1Ds Mark III full frame = 156 ⇒ hence mark II versions of L lenses
  • 16.7mp Canon 1Ds Mark II = 139
  • 12.9mp Fuji S5 Pro = 189 
  • 12.3mp Nikon D300 = 182
  • 12.2mp Nikon D2Xs = 181
  • 10mp Canon APS-C = 175
  • 10mp Nikon DX = 163 
  • 10mp Leica M8 = 146
  • 10mp Olympus = 203 ⇒ thus specially designed high resolution lens to match this sensor.
  • 7.4mp Olympus E330 = 174
• see also below regarding anti-aliasing filters & Nyquist theorem.
• NB. BUT if the camera is not on a tripod with the mirror locked up, then camera shake is much, much more likely to be the bottleneck this is why image stabilisers can be so important.

• 6”x4“ = 1.5
• 5”x7“ = 1.4
• 6”x8“ = 1.33 = 4:3
• 8”x10“ print you need either cropped to ratio of 1.25 or use variable width white borders
• 8”x12“ = 1.5
• A4 borderless paper print (eg. Canon printers) is 297x210mm = ratio of 1.41
• 10”x12“ = 1.2
• 10”x15“ = 1.5 = 3:2

• 800×600 = 1.33
• 1024×768 = 1.33
• 1280×1024 = 1.25
• 1280×800 XGA+ wideview = 1.6
• 1400×1050 = 1.33
• 1600×1200 = 1.33
• 1920×1200 UXGA wideview = 1.6

• 1:1 aspect ratio = 1.0 (ie. square):
  • the ratio used in 6x6 medium format film cameras such as Hasselblad
  • negates the need to rotate camera from landscape to portrait, which is a nuisance when on tripods
  • great for showing things but not as good as a panoramic rectangular ratio for telling stories
• 6×7 aspect ratio = 1.17:
  •  the ratio used in 6x7 medium format film cameras
• 4×5 and 8×10 aspect ratio = 1.25
  • used by large format film cameras (4”x5“ and 8”x10“)
• 4:3 aspect ratio = 1.33
  • the default ratio on the Olympus & Panasonic Olympus Four Thirds dSLR system and Micro Four Thirds system and many digital compacts is 4:3 ie. 3264×2448 pixels (ratio 1.33) which is the same as most computer monitor screen resolution is such as 1024×768 or 800×600
  • almost the same ratio as 6”x8“ medium format film cameras (=1.36)
  • pros:
    • great for displaying images on computers as most screen displays are 1.33 ratios
    • great for printing to 6”x8“, 12”x16“, 18”x24“, 
    • less cropping than 35mm aspect ratio for printing to 8”x10“ or 10”x12“
    • more width for over-lapping when doing panorama stitches in portrait orientation (a preferred orientation for most who want high resolution panoramas) 
• 3:2 aspect ratio = 1.5
  • 35mm film/digital is 36×24 = 6×9 medium format film ratio
  • pros:
    • great for printing to 6”x4“, 8”x12“, 10”x15“, 20”x30“
    • great for viewing on wide screen computer displays (but not many web users have these)
    • wider perspective for single-shot landscapes in landscape orientation
    • can fit taller buildings in for single-shot images in portrait orientation
    • more width for over-lapping when doing panorama stitches in landscape orientation but you get less sky
• 16:9 aspect ratio = 1.78:
  • an often preferred ratio for telling stories as it is wider than the 3:2 which in turn is wider than 4:3
  • the current standard wide screen TV format
  • eg. 1280×720 movies
  • eg. Panasonic LX-2 and LX-3 compact digital cameras and the Panasonic GH series have native 16:9 option
  • BUT most computer monitors will display it in letterbox style and there are no standard print formats for this ratio
• 6×12 medium format film = 2.0:
  • 6x12 medium format panoramic film cameras

• 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 Four Thirds 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:

• whenever one converts a signal to a digital form, a process of sampling is used to read parts of the analog signal at regular time or space intervals, all other parts of the analog signal is discarded (eg. occurs between the time when the signal is being read or, as in camera sensors, misses the photosite sensor).
• in audio, we sample the sound at regular time intervals to capture instantaneous values, the higher the sampling rate, the closer the digital signal is to the original analog signal.
• in imaging, we sample light using sensors arranged in an array, the distance between these sensors is the spatial sampling frequency in cycles per millimetre.
• the famous Nyquest-Shannon sampling theorem says that we need to sample at twice the highest frequency contained in the analog signal to be able to perfectly reconstruct the original signal from the series of sampled values alone.
• thus if we sample at a rate of R per second (the sampling rate), we will completely capture any signal containing frequencies up to R/2 per second (the Nyquist frequency for the system). Unfortunately, if the signal contains frequencies above this, it is not just discarded, but creates an artefact by becoming part of the sampled value at a value the same amount below the Nyquest frequency as the original value was above it - this maverick component of the sample is called aliasing distortion and the phenomenon is called aliasing.
• to prevent such aliasing distortion, we use an anti-aliasing low pass filter which attempts to remove all parts of the signal which are at or above the Nyquest frequency before we sample the signal.
• in digital photography, the anti-aliasing filter needs to work best at frequencies at or just above the Nyquest frequency, as frequencies much higher than that tend to be removed by the optical system's aberrations (incl. diffraction limits) and inexact focusing. In addition, as sensors are not perfect, they can usually only resolve up to 70-80% of Nyquist frequency, and thus the anti-aliasing filter may need to block frequencies in this range as well to minimise digital sampling artefacts.
• thus in digital cameras, the anti-aliasing “filter” is actually provided by a combination of factors:
  • lens blur
  • image-shifting anti-aliasing filter - usually with a cos(pi * x) response
  • integration over the area of the sensor pixels
  • lenslets if the sensor is so equipped, with its sin(pi*x)/(pi+x) response
• it is thus possible that for optimum anti-aliasing levels, the degree of anti-aliasing needed depends to some extent on the lens system used, and thus the importance of matching the lens to the camera, which may explain the often sub-optimal results digital SLR's have when used with lenses designed for film cameras.