Image sensor

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A CCD image sensor on a flexible circuit board

An image sensor or imaging sensor is a sensor that detects and conveys the information that constitutes an image. It does so by converting the variable attenuation of waves (as they pass through or reflect off objects) into signals, the small bursts of current that convey the information. The waves can be light or other electromagnetic radiation. Image sensors are used in electronic imaging devices of both analog and digital types, which include digital cameras, camera modules, medical imaging equipment, night vision equipment such as thermal imaging devices, radar, sonar, and others. As technology changes, digital imaging tends to replace analog imaging.

Early analog sensors for visible light were video camera tubes. Currently, used types are semiconductor charge-coupled devices (CCD) or active pixel sensors in complementary metal–oxide–semiconductor (CMOS) or N-type metal-oxide-semiconductor (NMOS, Live MOS) technologies. Analog sensors for invisible radiation tend to involve vacuum tubes of various kinds. Digital sensors include flat panel detectors.

CCD vs CMOS technology

A micrograph of the corner of the photosensor array of a ‘webcam’ digital camera
Image sensor on the motherboard of a Nikon Coolpix L2 6 MP

Today, most digital still cameras use a CMOS sensor because CMOS sensor technology in recent years has leapfrogged CCDs. CCD is still in use for cheap low entry cameras, but weak in burst mode.[1] Both types of sensor accomplish the same task of capturing light and converting it into electrical signals.

Each cell of a CCD image sensor is an analog device. When light strikes the chip it is held as a small electrical charge in each photo sensor. The charges are converted to voltage one pixel at a time as they are read from the chip. Additional circuitry in the camera converts the voltage into digital information.

A CMOS imaging chip is a type of active pixel sensor made using the CMOS semiconductor process. Extra circuitry next to each photo sensor converts the light energy to a voltage. Additional circuitry on the chip may be included to convert the voltage to digital data.

Neither technology has a clear advantage in image quality.[citation needed] On one hand, CCD sensors are more susceptible to vertical smear from bright light sources when the sensor is overloaded; high-end CMOS sensors in turn do not suffer from this problem. On the other hand, cheaper CMOS sensors are susceptible to undesired effects that come as a result of rolling shutter.[citation needed]

CMOS sensors can potentially be implemented with fewer components, use less power, and/or provide faster readout than CCD sensors.[2] CCD is a more mature technology and is in most respects the equal of CMOS.[3][4] CMOS sensors are less expensive to manufacture than CCD sensors.[citation needed]

Another hybrid CCD/CMOS architecture, sold under the name "sCMOS," consists of CMOS readout integrated circuits (ROICs) that are bump bonded to a CCD imaging substrate – a technology that was developed for infrared staring arrays and now adapted to silicon-based detector technology.[5] Another approach is to utilize the very fine dimensions available in modern CMOS technology to implement a CCD like structure entirely in CMOS technology. This can be achieved by separating individual poly-silicon gates by a very small gap. These hybrid sensors are still in the research phase and can potentially harness the benefits of both CCD and CMOS imagers.[6]

The newer sensor technology is Back-side illuminated CMOS (BSI-CMOS) which uses less electricity than traditional CMOS with better performance than CCD, so lower-end cameras still use CCD sensors such as those implemented by Fujifilm in its Bridge cameras. CCD sensors are rarely used in new models, except for very high pixel count, big sensor cameras which still use CCDs.

Performance

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There are many parameters that can be used to evaluate the performance of an image sensor, including dynamic range, signal-to-noise ratio, and low-light sensitivity. For sensors of comparable types, the signal-to-noise ratio and dynamic range improve as the size increases.

Color separation

Bayer pattern on sensor
Foveon's scheme of vertical filtering for color sensing

There are several main types of colour image sensors, differing by the type of colour-separation mechanism:

  • Bayer filter sensor, low-cost and most common, using a color filter array that passes red, green, or blue light to selected pixel sensors, forming interlaced grids sensitive to red, green, and blue – the missing color samples are interpolated using a demosaicing algorithm. In order to avoid interpolated color information, techniques like color co-site sampling use a piezo mechanism to shift the color sensor in pixel steps. The Bayer filter sensors also include back-illuminated sensors, where the light enters the sensitive silicon from the opposite side of where the transistors and metal wires are, such that the metal connections on the devices side are not an obstacle for the light, and the efficiency is higher.[7][8]
  • Foveon X3 sensor, using an array of layered pixel sensors, separating light via the inherent wavelength-dependent absorption property of silicon, such that every location senses all three color channels.
  • 3CCD, using three discrete image sensors, with the color separation done by a dichroic prism.

Specialty sensors

Special sensors are used in various applications such as thermography, creation of multi-spectral images, video laryngoscopes, gamma cameras, sensor arrays for x-rays, and other highly sensitive arrays for astronomy.[citation needed]

While in general digital cameras use a flat sensor, Sony prototyped a curved sensor in 2014 to reduce/eliminate Petzval field curvature that occurs with a flat sensor. Use of a curved sensor allows a shorter and smaller diameter of the lens with reduced elements and components with greater aperture and reduced light fall-off at the edge of the photo.[9]

Sensors used in digital cameras

Width (px) Height (px) Aspect ratio Actual pixel count Megapixels Camera examples
100 100
1:1
10,000 0.01 Kodak (by Steven Sasson) Prototype (1975)
640 480 4:3 aspect ratio 307,200 0.3 Apple QuickTake 100 (1994)
832 608 4:3 aspect ratio 505,856 0.5 Canon Powershot 600 (1996)
1,024 768 4:3 aspect ratio 786,432 0.8 Olympus D-300L (1996)
1024 1024
1:1
1,048,576 1.0 Nikon NASA F4 (1991)
1,280 960 4:3 aspect ratio 1,228,800 1.3 Fujifilm DS-300 (1997)
1,280 1,024
5:4
1,310,720 1.3 Fujifilm MX-700, Fujifilm MX-1700 (1999), Leica Digilux (1998), Leica Digilux Zoom (2000)
1,600 1,200 4:3 aspect ratio 1,920,000 2 Nikon Coolpix 950, Samsung GT-S3500
2,012 1,324 3:2 aspect ratio 2,663,888 2.74 Nikon D1
2,048 1,536 4:3 aspect ratio 3,145,728 3 Canon PowerShot A75, Nikon Coolpix 995
2,272 1,704 4:3 aspect ratio 3,871,488 4 Olympus Stylus 410, Contax i4R (although CCD is actually square 2,272×2,272)
2,464 1,648 3:2 aspect ratio 4,060,672 4.1 Canon 1D
2,560 1,920 4:3 aspect ratio 4,915,200 5 Olympus E-1, Sony Cyber-shot DSC-F707, Sony Cyber-shot DSC-F717
2,816 2,112 4:3 aspect ratio 5,947,392 5.9 Olympus Stylus 600 Digital
3,008 2,000 3:2 aspect ratio 6,016,000 6 D100, Nikon D40, D50, D70, D70s, Pentax K100D, Konica Minolta Maxxum 7D, Konica Minolta Maxxum 5D, Epson R-D1
3,072 2,048 3:2 aspect ratio 6,291,456 6.3 Canon EOS 10D, Canon EOS 300D
3,072 2,304 4:3 aspect ratio 7,077,888 7 Olympus FE-210, Canon PowerShot A620
3,456 2,304 3:2 aspect ratio 7,962,624 8 Canon EOS 350D
3,264 2,448 4:3 aspect ratio 7,990,272 8 Olympus E-500, Olympus SP-350, Canon PowerShot A720 IS, Nokia 701, HTC Desire HD, Apple iPhone 4S
3,504 2,336 3:2 aspect ratio 8,185,344 8.2 Canon EOS 30D, Canon EOS-1D Mark II, Canon EOS-1D Mark II N
3,520 2,344 3:2 aspect ratio 8,250,880 8.25 Canon EOS 20D
3,648 2,736 4:3 aspect ratio 9,980,928 10 Canon PowerShot G11, Canon PowerShot G12, Canon PowerShot S90, Canon PowerShot S95, Nikon CoolPix P7000, Nikon CoolPix P7100, Olympus E-410, Olympus E-510, Panasonic FZ50, Fujifilm FinePix HS10, Samsung EX1
3,872 2,592 3:2 aspect ratio 10,036,224 10 Nikon D40x, Nikon D60, Nikon D3000, Nikon D200, Nikon D80, Pentax K10D, Pentax K200D, Sony DSLR-A100
3,888 2,592 3:2 aspect ratio 10,077,696 10.1 Canon EOS 40D, Canon EOS 400D, Canon EOS 1000D
4,064 2,704 3:2 aspect ratio 10,989,056 11 Canon EOS-1Ds
4,000 3,000 4:3 aspect ratio 12,000,000 12 Canon Powershot G9, Fujifilm FinePix S200EXR, Nikon Coolpix L110, Kodak Easyshare Max Z990
4,256 2,832 3:2 aspect ratio 12,052,992 12.1 Nikon D3, Nikon D3S, Nikon D700, Fujifilm FinePix S5 Pro
4,272 2,848 3:2 aspect ratio 12,166,656 12.2 Canon EOS 450D
4,032 3,024 4:3 aspect ratio 12,192,768 12.2 Olympus PEN E-P1
4,288 2,848 3:2 aspect ratio 12,212,224 12.2 Nikon D2Xs/D2X, Nikon D300, Nikon D300S, Nikon D90, Nikon D5000, Pentax K-x
4,900 2,580 16:9 aspect ratio 12,642,000 12.6 RED ONE Mysterium
4,368 2,912 3:2 aspect ratio 12,719,616 12.7 Canon EOS 5D
5,120 2,700 16:9 aspect ratio 13,824,000 13.8 RED Mysterium-X
7,920 (2,640 × 3) 1,760 3:2 aspect ratio 13,939,200 13.9 Sigma SD14, Sigma DP1 (3 layers of pixels, 4.7 MP per layer, in Foveon X3 sensor)
4,672 3,104 3:2 aspect ratio 14,501,888 14.5 Pentax K20D, Pentax K-7
4,752 3,168 3:2 aspect ratio 15,054,336 15.1 Canon EOS 50D, Canon EOS 500D, Sigma SD1
4,896 3,264 3:2 aspect ratio 15,980,544 16.0 Fujifilm X-Pro1, Fujifilm X-E1 (X-Trans sensor has a different pattern to a Bayer sensor)
4,928 3,262 3:2 aspect ratio 16,075,136 16.1 Nikon D7000, Nikon D5100, Pentax K-5
4,992 3,328 3:2 aspect ratio 16,613,376 16.6 Canon EOS-1Ds Mark II, Canon EOS-1D Mark IV
5,184 3,456 3:2 aspect ratio 17,915,904 17.9 Canon EOS 7D, Canon EOS 70D, Canon EOS 60D, Canon EOS 100D, Canon EOS 600D, Canon EOS 550D, Canon EOS 650D, Canon EOS 700D
4,928 3,696 4:3 aspect ratio 18,200,000 18.2 Sony DSC-HX20
5,270 3,516 3:2 aspect ratio 18,529,320 18.5 Leica M9, RED Dragon
5,616 3,744 3:2 aspect ratio 21,026,304 21.0 Canon EOS-1Ds Mark III, Canon EOS-5D Mark II
6,048 4,032 3:2 aspect ratio 24,385,536 24.4 Sony α850, Sony α900, Sony α99, Nikon D3X and Nikon D600
5,140 5,140
1:1
26,419,600 26.4 Leica S1 (line scanner, 1997)[10]
7,360 4,912 3:2 aspect ratio 36,152,320 36.2 Nikon D800, Sony α7R
7,500 5,000 3:2 aspect ratio 37,500,000 37.5 Leica S2
7,212 5,142 4:3 aspect ratio 39,031,344 39.0 Hasselblad H3DII-39
7,216 5,412 4:3 aspect ratio 39,052,992 39.1 Leica RCD100
7,264 5,440 4:3 aspect ratio 39,516,160 39.5 Pentax 645D
7,320 5,484 4:3 aspect ratio 40,142,880 40.1 Phase One IQ140
7,728 5,368 10:7 41,483,904 41.5 Nokia 808 PureView
8,176 6,132 4:3 aspect ratio 50,135,232 50.1 Hasselblad H3DII-50, Hasselblad H4D-50
11,250 5,000 9:4 56,250,000 56.3 Better Light 4000E-HS (scanned)
8,956 6,708 4:3 aspect ratio 60,076,848 60.1 Hasselblad H4D-60
8,984 6,732 4:3 aspect ratio 60,480,288 60.5 Phase One IQ160, Phase One P65+
10,320 7,752 4:3 aspect ratio 80,000,640 80 Leaf Aptus-II 12, Leaf Aptus-II 12R
10,328 7,760 4:3 aspect ratio 80,145,280 80.1 Phase One IQ180
9,372 9,372
1:1
87,834,384 87.8 Leica RC30 (point scanner)
12,600 10,500
6:5
132,300,000 132.3 Phase One PowerPhase FX/FX+ (line scanner)
18,000 8,000 9:4 144,000,000 144 Better Light 6000-HS/6000E-HS (line scanner)
21,250 7,500 17:6 159,375,000 159.4 Seitz 6x17 Digital (line scanner)
16,352* 12,264* 4:3 aspect ratio 200,540,928 200.5 Hasselblad H4D-200MS (*actuated multi (6x) shot)
18,000 12,000 4:3 aspect ratio 216,000,000 216 Better Light Super 6K-HS (line scanner)
24,000 15,990 ~ 3:2 aspect ratio 383,760,000 383.8 Better Light Super 8K-HS (line scanner)
30,600 13,600 9:4 416,160,000 416.2 Better Light Super 10K-HS (line scanner)
62,830 7,500 ~ 25:3 471,225,000 471.2 Seitz Roundshot D3 (80 mm lens) (scanned)
62,830 13,500 ~ 5:1 848,205,000 848.2 Seitz Roundshot D3 (110 mm lens) (line scanner)
38,000 38,000
1:1
1,444,000,000 1,444 Pan-STARRS PS1
157,000 18,000 ~ 26:3 2,826,000,000 2,826 Better Light 300 mm lens Digital (line scanner)

Companies

Lua error in package.lua at line 80: module 'strict' not found. The largest companies that manufacture imaging sensors include the following:

See also

References

  1. Lua error in package.lua at line 80: module 'strict' not found.
  2. Lua error in package.lua at line 80: module 'strict' not found.
  3. dalsa.com - CCD vs CMOS from Photonics Spectra 2001
  4. dpreview.com - Sensors By Vincent Bockaert
  5. scmos.com, home page
  6. ieee.org - CCD in CMOS Padmakumar R. Rao et al., "CCD structures implemented in standard 0.18 µm CMOS technology"
  7. semiconductor.net - Sony Backside Illuminated CMOS Image Sensor
  8. nikkeibp.co.jp - OmniVision on Backside-illuminated CMOS Sensors
  9. Lua error in package.lua at line 80: module 'strict' not found.
  10. Digicam history 1997
  11. ON Semiconductor to Acquire Aptina Imaging
  12. ON Semiconductor to Acquire Truesense Imaging, Inc

External links