Image sensor

A CCD image sensor on a flexible circuit board

An American Microsystems, Inc., (AMI) 1-kilobit DRAM chip (center chip with glass window) used as an image sensor by the Cromemco Cyclops

An image sensor or imager is a sensor that detects and conveys information used to form an image. It does so by converting the variable attenuation of light waves (as they pass through or reflect off objects) into signals, 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, camera phones, optical mouse devices,^[1][2][3] medical imaging equipment, night vision equipment such as thermal imaging devices, radar, sonar, and others. As technology changes, electronic and digital imaging tends to replace chemical and analog imaging.

The two main types of electronic image sensors are the charge-coupled device (CCD) and the active-pixel sensor (CMOS sensor). Both CCD and CMOS sensors are based on metal–oxide–semiconductor (MOS) technology, with CCDs based on MOS capacitors and CMOS sensors based on MOSFET (MOS field-effect transistor) amplifiers. Analog sensors for invisible radiation tend to involve vacuum tubes of various kinds, while digital sensors include flat-panel detectors.

CCD vs. CMOS sensors

A micrograph of the corner of the photosensor array of a webcam digital camera

Image sensor (upper left) on the motherboard of a Nikon Coolpix L2 6 MP

The two main types of digital image sensors are the charge-coupled device (CCD) and the active-pixel sensor (CMOS sensor), fabricated in complementary MOS (CMOS) or N-type MOS (NMOS or Live MOS) technologies. Both CCD and CMOS sensors are based on the MOS technology,^[4] with MOS capacitors being the building blocks of a CCD,^[5] and MOSFET amplifiers being the building blocks of a CMOS sensor.^[6][7]

Cameras integrated in small consumer products generally use CMOS sensors, which are usually cheaper and have lower power consumption in battery powered devices than CCDs.^[8] CCD sensors are used for high end broadcast quality video cameras, and CMOS sensors dominate in still photography and consumer goods where overall cost is a major concern. 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 in the line of pixels nearest to the (one or more) output amplifiers are amplified and output, then each line of pixels shifts its charges one line closer to the amplifiers, filling the empty line closest to the amplifiers. This process is then repeated until all the lines of pixels have had their charge amplified and output.^[9]

A CMOS image sensor has an amplifier for each pixel compared to the few amplifiers of a CCD. This results in less area for the capture of photons than a CCD, but this problem has been overcome by using microlenses in front of each photodiode, which focus light into the photodiode that would have otherwise hit the amplifier and not been detected.^[9] Some CMOS imaging sensors also use Back-side illumination to increase the number of photons that hit the photodiode.^[10] CMOS sensors can potentially be implemented with fewer components, use less power, and/or provide faster readout than CCD sensors.^[11] They are also less vulnerable to static electricity discharges.

Another design, a 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 has been adapted to silicon-based detector technology.^[12] Another approach is to utilize the very fine dimensions available in modern CMOS technology to implement a CCD like structure entirely in CMOS technology: such structures can be achieved by separating individual poly-silicon gates by a very small gap; though still a product of research hybrid sensors can potentially harness the benefits of both CCD and CMOS imagers.^[13]

Performance

See also: EMVA1288

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. It is because in a given integration (exposure) time, more photons hit the pixel with larger area.

Exposure-time control

Exposure time of image sensors is generally controlled by either a conventional mechanical shutter, as in film cameras, or by an electronic shutter. Electronic shuttering can be "global," in which case the entire image sensor area's accumulation of photoelectrons starts and stops simultaneously, or "rolling" in which case the exposure interval of each row immediate precedes that row's readout, in a process that "rolls" across the image frame (typically from top to bottom in landscape format). Global electronic shuttering is less common, as it requires "storage" circuits to hold charge from the end of the exposure interval until the readout process gets there, typically a few milliseconds later.^[14]

Color separation

Bayer pattern on sensor

Foveon's scheme of vertical filtering for color sensing

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

• Integral color sensors^[15] use a color filter array fabricated on top of a single monochrome CCD or CMOS image sensor. The most common color filter array pattern, the Bayer pattern, uses a checkerboard arrangement of two green pixels for each red and blue pixel, although many other color filter patterns have been developed, including patterns using cyan, magenta, yellow, and white pixels.^[16] Integral color sensors were initially manufactured by transferring colored dyes through photoresist windows onto a polymer receiving layer coated on top of a monochrome CCD sensor.^[17] Since each pixel provides only a single color (such as green), the "missing" color values (such as red and blue) for the pixel are interpolated using neighboring pixels.^[18] This processing is also referred to as demosaicing or de-bayering.
• 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. This method is similar to how color film for photography works.
• 3CCD, using three discrete image sensors, with the color separation done by a dichroic prism. The dichroic elements provide a sharper color separation, thus improving color quality. Because each sensor is equally sensitive within its passband, and at full resolution, 3-CCD sensors produce better color quality and better low light performance. 3-CCD sensors produce a full 4:4:4 signal, which is preferred in television broadcasting, video editing and chroma key visual effects.

Specialty sensors

Infrared view of the Orion Nebula taken by ESO's HAWK-I, a cryogenic wide-field imager^[19]

Special sensors are used in various applications such as creation of multi-spectral images, video laryngoscopes, gamma cameras, Flat-panel detectors and other sensor arrays for x-rays, microbolometer arrays in thermography, and other highly sensitive arrays for astronomy.^[20]

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.^[21]

History

See also: Digital imaging

Early analog sensors for visible light were video camera tubes. They date back to the 1930s, and several types were developed up until the 1980s. By the early 1990s, they had been replaced by modern solid-state CCD image sensors.^[22]

The basis for modern solid-state image sensors is MOS technology,^[23][24] which originates from the invention of the MOSFET by Mohamed M. Atalla and Dawon Kahng at Bell Labs in 1959.^[25] Later research on MOS technology led to the development of solid-state semiconductor image sensors, including the charge-coupled device (CCD) and later the active-pixel sensor (CMOS sensor).^[23][24]

The passive-pixel sensor (PPS) was the precursor to the active-pixel sensor (APS).^[7] A PPS consists of passive pixels which are read out without amplification, with each pixel consisting of a photodiode and a MOSFET switch.^[26] It is a type of photodiode array, with pixels containing a p-n junction, integrated capacitor, and MOSFETs as selection transistors. A photodiode array was proposed by G. Weckler in 1968.^[6] This was the basis for the PPS.^[7] These early photodiode arrays were complex and impractical, requiring selection transistors to be fabricated within each pixel, along with on-chip multiplexer circuits. The noise of photodiode arrays was also a limitation to performance, as the photodiode readout bus capacitance resulted in increased noise level. Correlated double sampling (CDS) could also not be used with a photodiode array without external memory.^[6] However, in 1914 Deputy Consul General Carl R. Loop, reported to the state department in a Consular Report on Archibald M. Low's Televista system that "It is stated that the selenium in the transmitting screen may be replaced by any diamagnetic material".^[27]

In June 2022, Samsung Electronics announced that it had created a 200 million pixel image sensor. The 200MP ISOCELL HP3 has 0.56 micrometer pixels with Samsung reporting that previous sensors had 0.64 micrometer pixels, a 12% decrease since 2019. The new sensor contains 200 million pixels in a 1-by-1.4-inch (25 by 36 mm) lens.^[28]

Charge-coupled device

Main article: Charge-coupled device

The charge-coupled device (CCD) was invented by Willard S. Boyle and George E. Smith at Bell Labs in 1969.^[29] While researching MOS technology, they realized that an electric charge was the analogy of the magnetic bubble and that it could be stored on a tiny MOS capacitor. As it was fairly straightforward to fabricate a series of MOS capacitors in a row, they connected a suitable voltage to them so that the charge could be stepped along from one to the next.^[23] The CCD is a semiconductor circuit that was later used in the first digital video cameras for television broadcasting.^[30]

Early CCD sensors suffered from shutter lag. This was largely resolved with the invention of the pinned photodiode (PPD).^[7] It was invented by Nobukazu Teranishi, Hiromitsu Shiraki and Yasuo Ishihara at NEC in 1980.^[7][31] It was a photodetector structure with low lag, low noise, high quantum efficiency and low dark current.^[7] In 1987, the PPD began to be incorporated into most CCD devices, becoming a fixture in consumer electronic video cameras and then digital still cameras. Since then, the PPD has been used in nearly all CCD sensors and then CMOS sensors.^[7]

Active-pixel sensor

Main article: Active-pixel sensor

The NMOS active-pixel sensor (APS) was invented by Olympus in Japan during the mid-1980s. This was enabled by advances in MOS semiconductor device fabrication, with MOSFET scaling reaching smaller micron and then sub-micron levels.^[6][32] The first NMOS APS was fabricated by Tsutomu Nakamura's team at Olympus in 1985.^[33] The CMOS active-pixel sensor (CMOS sensor) was later improved by a group of scientists at the NASA Jet Propulsion Laboratory in 1993.^[7] By 2007, sales of CMOS sensors had surpassed CCD sensors.^[34] By the 2010s, CMOS sensors largely displaced CCD sensors in all new applications.

Other image sensors

The first commercial digital camera, the Cromemco Cyclops in 1975, used a 32×32 MOS image sensor. It was a modified MOS dynamic RAM (DRAM) memory chip.^[35]

MOS image sensors are widely used in optical mouse technology. The first optical mouse, invented by Richard F. Lyon at Xerox in 1980, used a 5 μm NMOS integrated circuit sensor chip.^[2][1] Since the first commercial optical mouse, the IntelliMouse introduced in 1999, most optical mouse devices use CMOS sensors.^[36]

In February 2018, researchers at Dartmouth College announced a new image sensing technology that the researchers call QIS, for Quanta Image Sensor. Instead of pixels, QIS chips have what the researchers call "jots." Each jot can detect a single particle of light, called a photon.^[37]

See also

• List of sensors used in digital cameras
• Contact image sensor (CIS)
• Electro-optical sensor
• Video camera tube, used before image sensors for video
• Semiconductor detector
• Fill factor
• Full-frame digital SLR
• Image resolution
• Image sensor format, the sizes and shapes of common image sensors
• Color filter array, mosaic of tiny color filters over color image sensors
• Sensitometry, the scientific study of light-sensitive materials
• History of television, the development of electronic imaging technology since the 1880s
• List of large sensor interchangeable-lens video cameras
• Oversampled binary image sensor
• Computer vision
• Push broom scanner
• Whisk broom scanner

References

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2. Lyon, Richard F. (2014). "The Optical Mouse: Early Biomimetic Embedded Vision". Advances in Embedded Computer Vision. Springer. pp. 3–22 (3). ISBN 9783319093871.
3. Brain, Marshall; Carmack, Carmen (24 April 2000). "How Computer Mice Work". HowStuffWorks. Retrieved 9 October 2019.
4. Cressler, John D. (2017). "Let There Be Light: The Bright World of Photonics". Silicon Earth: Introduction to Microelectronics and Nanotechnology, Second Edition. CRC Press. p. 29. ISBN 978-1-351-83020-1.
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6. Fossum, Eric R. (12 July 1993). "Active pixel sensors: Are CCDS dinosaurs?". In Blouke, Morley M. (ed.). Charge-Coupled Devices and Solid State Optical Sensors III. Vol. 1900. International Society for Optics and Photonics. pp. 2–14. Bibcode:1993SPIE.1900....2F. CiteSeerX 10.1.1.408.6558. doi:10.1117/12.148585. S2CID 10556755.
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10. "What is a backlit CMOS sensor?". techradar.com. 2012-07-02. Archived from the original on 2017-05-06. Retrieved 2017-04-27.
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12. scmos.com Archived 2012-06-03 at the Wayback Machine, home page
13. ieee.org - CCD in CMOS Archived 2015-06-22 at the Wayback Machine Padmakumar R. Rao et al., "CCD structures implemented in standard 0.18 μm CMOS technology"
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19. "Deepest Ever Look into Orion". Archived from the original on 13 July 2016. Retrieved 13 July 2016.
20. Gitto, Simone (2020). Arduino with MATLAB in the thermography: From the sensor to the thermal camera (Arduino and Beyond). Independently published. ISBN 979-8698999171.
21. Dent, Steve (8 July 2014). "Sony's first 'curved sensor' photo may herald better images, cheaper lenses". Archived from the original on July 11, 2014. Retrieved July 8, 2014.
22. Musburger, Robert B.; Ogden, Michael R. (2014). Single-Camera Video Production. CRC Press. p. 64. ISBN 9781136778445.
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27. Daily Consular and Trade Reports. Department of Commerce and Labor, Bureau of Manufactures. 1914.
28. Web, Desk (2022-06-25). "Samsung Electronics releases a sensor with 200 million pixels". BOL News. Retrieved 2022-06-25. {{cite news}}: |first= has generic name (help)
29. Janesick, James R. (2001). Scientific charge-coupled devices. SPIE Press. pp. 3–4. ISBN 978-0-8194-3698-6.
30. Boyle, William S; Smith, George E. (1970). "Charge Coupled Semiconductor Devices". Bell Syst. Tech. J. 49 (4): 587–593. Bibcode:1970BSTJ...49..587B. doi:10.1002/j.1538-7305.1970.tb01790.x.
31. U.S. Patent 4,484,210: Solid-state imaging device having a reduced image lag
32. Fossum, Eric R. (2007). "Active Pixel Sensors" (PDF). Semantic Scholar. S2CID 18831792. Archived from the original (PDF) on 9 March 2019. Retrieved 8 October 2019.
33. Matsumoto, Kazuya; et al. (1985). "A new MOS phototransistor operating in a non-destructive readout mode". Japanese Journal of Applied Physics. 24 (5A): L323. Bibcode:1985JaJAP..24L.323M. doi:10.1143/JJAP.24.L323. S2CID 108450116.
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External links

• Digital Camera Sensor Performance Summary by Roger Clark
• Clark, Roger. "Does Pixel Size Matter?". clarkvision.com. (with graphical buckets and rainwater analogies)