Image sensor format

Comparative dimensions of sensor sizes

In digital photography, the image sensor format is the shape and size of the image sensor.

The image sensor format of a digital camera determines the angle of view of a particular lens when used with a particular camera. In particular, image sensors in digital SLR cameras tend to be smaller than the 24 mm × 36 mm image area of full-frame 35 mm cameras, and therefore lead to a narrower angle of view.

The size of a sensor is often expressed as optical format in inches. Other measures are also used; see table of sensor formats and sizes below.

Lenses produced for 35 mm film cameras may mount well on the digital bodies, but the larger image circle of the 35 mm system lens allows unwanted light into the camera body, and the smaller size of the image sensor compared to 35 mm film format results in cropping of the image. This latter effect is known as field of view crop. The format size ratio (relative to the 35 mm film format) is known as the field of view crop factor, crop factor, lens factor, focal length conversion factor, focal length multiplier or lens multiplier.

Sensor size and depth of field

Three possible depth of field comparisons between formats are discussed, applying the formulae derived in the article on depth of field. The depths of field of the three cameras may be the same, or different in either order, depending on what is held constant in the comparison.

Considering a picture with the same subject distance and angle of view for two different formats:

\frac {\mathrm{DOF}_2} {\mathrm{DOF}_1} \approx \frac {d_1} {d_2}

so the DOFs are in inverse proportion to the absolute aperture diameters $d_{1}$ and $d_{2}$ .

Using the same absolute aperture diameter for both formats with the “same picture” criterion (equal angle of view, magnified to same final size) yields the same depth of field. It is equivalent to adjusting the f-number inversely in proportion to crop factor – a smaller f-number for smaller sensors. (This also means that, when holding the shutter speed fixed, the exposure is changed by the adjustment of the f-number required to equalise depth of field. But the aperture area is held constant, so sensors of all sizes receive the same total amount of light energy from the subject. The smaller sensor is then operating at a lower ISO setting, by the square of the crop factor.)

And, we might compare the depth of field of sensors receiving the same photometric exposure – the f-number is fixed instead of the aperture diameter – the sensors are operating at the same ISO setting in that case, but the smaller sensor is receiving less total light, by the area ratio. The ratio of depths of field is then

\frac {\mathrm{DOF}_2} {\mathrm{DOF}_1} \approx \frac {l_1} {l_2}

where $l_1$ and $l_{2}$ are the characteristic dimensions of the format, and thus $l_1/l_2$ is the relative crop factor between the sensors. It is this result that gives rise to the common opinion that small sensors yield greater depth of field than large ones.

An alternative is to consider the depth of field given by the same lens in conjunction with different sized sensors (changing the angle of view). The change in depth of field is brought about by the requirement for a different degree of enlargement to achieve the same final image size. In this case the ratio of depths of field becomes

\frac {\mathrm{DOF}_2} {\mathrm{DOF}_1} \approx \frac {l_2} {l_1}

Sensor size, noise and dynamic range

Discounting pixel response non-uniformity (PRNU), which is not intrinsically sensor-size dependent, the noises in an image sensor are shot noise, read noise, and dark noise. The overall signal to noise ratio of a sensor (SNR), observed at the scale of a single pixel, is

\mathrm{SNR} = \frac{P Q_e t}{\sqrt{(\sqrt{P Q_e t})^2 + (\sqrt{D t})^2 + N_r^2}} = \frac{P Q_e t}{\sqrt{P Q_e t + D t + N_r^2}}

where $P$ is the incident photon flux (photons per second in the area of a pixel), $Q_e$ is the quantum efficiency, $t$ is the exposure time, $D$ is the pixel dark current in electrons per second and $N_r$ is the pixel read noise in electrons.^[1]

Each of these noises has a different dependency on sensor size.

Exposure and photon flux

Image sensor noise can be compared across formats for a given fixed photon flux per pixel area (the P in the formulas); this analysis is useful for a fixed number of pixels with pixel area proportional to sensor area, and fixed absolute aperture diameter for a fixed imaging situation in terms of depth of field, diffraction limit at the subject, etc. Or it can be compared for a fixed focal-plane illuminance, corresponding to a fixed f-number, in which case P is proportional to pixel area, independent of sensor area. The formulas above and below can be evaluated for either case.

Shot noise

In the above equation, the shot noise SNR is given by

\frac{P Q_e t}{\sqrt{P Q_e t}} = \sqrt{P Q_e t}

Apart from the quantum efficiency it depends on the incident photon flux and the exposure time,which is equivalent to the exposure and the sensor area; since the exposure is the integration time multiplied with the image plane illuminance, and illuminance is the luminous flux per unit area. Thus for equal exposures, the signal to noise ratios of two different size sensors of equal quantum efficiency and pixel count will (for a given final image size) be in proportion to the square root of the sensor area (or the linear scale factor of the sensor). If the exposure is constrained by the need to achieve some required depth of field (with the same shutter speed) then the exposures will be in inverse relation to the sensor area, producing the interesting result that if depth of field is a constraint, image shot noise is not dependent on sensor area.

Read noise

The read noise is the total of all the electronic noises in the conversion chain for the pixels in the sensor array. To compare it with photon noise, it must be referred back to its equivalent in photoelectrons, which requires the division of the noise measured in volts by the conversion gain of the pixel. This is given, for an active pixel sensor, by the voltage at the input (gate) of the read transistor divided by the charge which generates that voltage, $CG = V_{rt}/Q_{rt}$ . This is the inverse of the capacitance of the read transistor gate (and the attached floating diffusion) since capacitance $C = Q/V$ .^[2] Thus $CG = 1/C_{rt}$ .

In general for a planar structure such as a pixel, capacitance is proportional to area, therefore the read noise scales down with sensor area, as long as pixel area scales with sensor area, and that scaling is performed by uniformly scaling the pixel.

Considering the signal to noise ratio due to read noise at a given exposure, the signal will scale as the sensor area along with the read noise and therefore read noise SNR will be unaffected by sensor area. In a depth of field constrained situation, the exposure of the larger sensor will be reduced in proportion to the sensor area, and therefore the read noise SNR will reduce likewise.

Dark noise

Dark current contributes two kinds of noise: dark offset, which is only partly correlated between pixels, and the shot noise associated with dark offset, which is uncorrelated between pixels. Only the shot-noise component Dt is included in the formula above, since the uncorrelated part of the dark offset is hard to predict, and the correlated or mean part is relatively easy to subtract off. The mean dark current contains contributions proportional both to the area and the linear dimension of the photodiode, with the relative proportions and scale factors depending on the design of the photodiode.^[3] Thus in general the dark noise of a sensor may be expected to rise as the size of the sensor increases. However, in most sensors the mean pixel dark current at normal temperatures is small, lower than 50 e- per second,^[4] thus for typical photographic exposure times dark current and its associated noises may be discounted. At very long exposure times, however, it may be a limiting factor. And even at short or medium exposure times, a few outliers in the dark-current distribution may show up as "hot pixels".

Dynamic range

Dynamic range is the ratio of the largest and smallest recordable signal, the smallest being typically defined by the 'noise floor'. In the image sensor literature, the noise floor is taken as the readout noise, so $DR = Q_{max} / \sigma_{readout}$ ^[5] (note, the read noise $\sigma_{readout}$ is the same quantity as $N_r$ referred to in^[1])

The measurement here is made at the level of a pixel (which strictly means that the DR of sensors with different pixel counts is measured over a different spatial bandwidth, and cannot be compared without normalisation). If we assume sensors with the same pixel count but different sizes, then the pixel area will be in proportion to the sensor area. If the maximum exposure (amount of light per unit area) is the same then both the maximum signal and the read noise reduce in proportion to the pixel (and therefore the sensor) area, so the DR does not change. If the comparison is made according to DOF limited conditions, so that the exposure of the larger sensor is reduced in proportion to the area of the sensor (and pixel, for sensors with equal pixel count) then $Q_{max}$ is constant, and the read noise ( $\sigma_{readout}$ ) falls with the sensor area, leading to a higher dynamic range for the smaller sensor. Summarising the above discussion, considering separately the parts of the image signal to noise ratio due to photon shot noise and read noise and their relation to the linear sensor size ratio or 'crop factor' (remembering that conventionally crop factor increases as the sensor gets smaller) then:

	Shot noise SNR	Read noise SNR	Dynamic range
Fixed exposure	Inversely proportional to crop factor	No change	No change
DOF constrained	No change	Proportional to square of crop factor	Proportional to square of crop factor

It should be noted that this discussion isolates the effects of sensor scale on SNR and DR, in reality there are many other factors which affect both these quantities.

Sensor size and diffraction

The resolution of all optical systems is limited by diffraction. One way of considering the effect that diffraction has on cameras using different sized sensors is to consider the modulation transfer function (MTF). Diffraction is one of the factors that contribute to the overall system MTF. Other factors are typically the MTFs of the lens, anti-aliasing filter and sensor sampling window.^[6] The spatial cut-off frequency due to diffraction through a lens aperture is

\xi_\mathrm{cutoff}=\frac{1}{\lambda N}

where λ is the wavelength of the light passing through the system and N is the f-number of the lens. If that aperture is circular, as are (approximately) most photographic apertures, then the MTF is given by

\mathrm{MTF}(\xi / \xi_\mathrm{cutoff})=\frac{2}{\pi} \left \{ \cos^{-1}(\xi / \xi_\mathrm{cutoff})-(\xi / \xi_\mathrm{cutoff})\left [ 1-( \xi / \xi_\mathrm{cutoff})^2 \right ]^{1/2} \right \}

for $\xi < \xi_\mathrm{cutoff}$ and $0$ for $\xi \ge \xi_\mathrm{cutoff}$ ^[7] The diffraction based factor of the system MTF will therefore scale according to $\xi_\mathrm{cutoff}$ and in turn according to $1/N$ (for the same light wavelength).

In considering the effect of sensor size, and its effect on the final image, the different magnification required to obtain the same size image for viewing must be accounted for, resulting in an additional scale factor of $1/{C}$ where ${C}$ is the relative crop factor, making the overall scale factor $1 / (N C)$ . Considering the three cases above:

For the 'same picture' conditions, same angle of view, subject distance and depth of field, then the F-numbers are in the ratio $1/C$ , so the scale factor for the diffraction MTF is 1, leading to the conclusion that the diffraction MTF at a given depth of field is independent of sensor size.

In both the 'same photometric exposure' and 'same lens' conditions, the F-number is not changed, and thus the spatial cutoff and resultant MTF on the sensor is unchanged, leaving the MTF in the viewed image to be scaled as the magnification, or inversely as the crop factor.

Sensor format and lens size

It might be expected that lenses appropriate for a range of sensor sizes could be produced by simply scaling the same designs in proportion to the crop factor.^[8] Such an exercise would in theory produce a lens with the same F-number and angle of view, with a size proportional to the sensor crop factor. In practice, simple scaling of lens designs is not always achievable, due to factors such as the non-scalability of manufacturing tolerance, structural integrity of glass lenses of different sizes and available manufacturing techniques and costs. Moreover, to maintain the same absolute amount of information in an image (which can be measured as the space bandwidth product^[9]) the lens for a smaller sensor requires a greater resolving power. The development of the 'Tessar' lens is discussed by Nasse,^[10] and shows its transformation from an f/6.3 lens for plate cameras using the original three-group configuration through to an f/2.8 5.2 mm four-element optic with eight extremely aspheric surfaces, economically manufacturable because of its small size. Its performance is 'better than the best 35 mm lenses – but only for a very small image'.

In summary, as sensor size reduces, the accompanying lens designs will change, often quite radically, to take advantage of manufacturing techniques made available due to the reduced size. The functionality of such lenses can also take advantage of these, with extreme zoom ranges becoming possible. These lenses are often very large in relation to sensor size, but with a small sensor can be fitted into a compact package.

Small body means small lens and means small sensor, so to keep smartphones slim and light, the smartphone manufacturers use a tiny sensor usually less than the 1/2.3" used in most Bridge cameras. At one time only Nokia 808 PureView used a 1/1.2" sensor, almost three times the size of a 1/2.3" sensor. Bigger sensors have the advantage of better image quality, but with improvements in sensor technology, smaller sensors can achieve the feats of earlier larger sensors. These improvements in sensor technology allow smartphone manufacturers to use image sensors as small as 1/4" without sacrificing too much image quality compared to budget point & shoot cameras.^[11]

Active area of the sensor

For calculating camera angle of view one should use the size of active area of the sensor. Active area of the sensor implies an area of the sensor on which image is formed in a given mode of the camera. The active area may be smaller than the image sensor, and active area can differ in different modes of operation of the same camera. Active area size depends on the aspect ratio of the sensor and aspect ratio of the output image of the camera. The active area size can depend on number of pixels in given mode of the camera. The active area size and lens focal length determines angles of view.^[12]

Sensor size and shading effects

Semiconductor image sensors can suffer from shading effects at large apertures and at the periphery of the image field, due to the geometry of the light cone projected from the exit pupil of the lens to a point, or pixel, on the sensor surface. The effects are discussed in detail by Catrysse and Wandell .^[13] In the context of this discussion the most important result from the above is that to ensure a full transfer of light energy between two coupled optical systems such as the lens' exit pupil to a pixel's photoreceptor the geometrical extent (also known as etendue or light throughput) of the objective lens / pixel system must be smaller than or equal to the geometrical extent of the microlens / photoreceptor system. The geometrical extent of the objective lens / pixel system is given by

G_\mathrm{objective} \simeq \frac{w_\mathrm{pixel}}{2{(f/\#)}_\mathrm{objective}}

where $w pixel$ is the width of the pixel and $(f/#) objective$ is the f-number of the objective lens. The geometrical extent of the microlens / photoreceptor system is given by

G_\mathrm{pixel} \simeq \frac{w_\mathrm{photoreceptor}}{2{(f/\#)}_\mathrm{microlens}}

where $w photoreceptor$ is the width of the photoreceptor and $(f/#) microlens$ is the f-number of the microlens.

So to avoid shading,

G_\mathrm{pixel} \ge G_\mathrm{objective}

, therefore

\frac{w_\mathrm{photoreceptor}}{{(f/\#)}_\mathrm{microlens}} \ge \frac{w_\mathrm{pixel}}{{(f/\#)}_\mathrm{objective}}

If $w photoreceptor / w pixel = ff$ , the linear fill factor of the lens, then the condition becomes

{(f/\#)}_\mathrm{microlens} \le {(f/\#)}_\mathrm{objective} \times \mathit{ff}

Thus if shading is to be avoided the f-number of the microlens must be smaller than the f-number of the taking lens by at least a factor equal to the linear fill factor of the pixel. The f-number of the microlens is determined ultimately by the width of the pixel and its height above the silicon, which determines its focal length. In turn, this is determined by the height of the metallisation layers, also known as the 'stack height'. For a given stack height, the f-number of the microlenses will increase as pixel size reduces, and thus the objective lens f-number at which shading occurs will tend to increase. This effect has been observed in practice, as recorded in the DxOmark article 'F-stop blues'^[14]

In order to maintain pixel counts smaller sensors will tend to have smaller pixels, while at the same time smaller objective lens f-numbers are required to maximise the amount of light projected on the sensor. To combat the effect discussed above, smaller format pixels include engineering design features to allow the reduction in f-number of their microlenses. These may include simplified pixel designs which require less metallisation, 'light pipes' built within the pixel to bring its apparent surface closer to the microlens and 'back side illumination' in which the wafer is thinned to expose the rear of the photodetectors and the microlens layer is placed directly on that surface, rather than the front side with its wiring layers. The relative effectiveness of these stratagems is discussed by Aptina in some detail.^[15]

Common image sensor formats

Sizes of sensors used in most current digital cameras relative to a standard 35mm frame.

Medium-format digital sensors

The largest digital sensors in commercially available cameras are described as medium format, in reference to film formats of similar dimensions. The most common size is approximately 48 mm × 36 mm (1.9 in × 1.4 in), due to the widespread use of Kodak's 22-megapixel KAF-22000 and 39-megapixel KAF-39000.^[16] Available CCD sensors include Phase One's P65+ digital back with Dalsa's 53.9 mm × 40.4 mm (2.12 in × 1.59 in) sensor containing 60.5 megapixels^[17] and Leica's "S-System" DSLR with a 45 mm × 30 mm (1.8 in × 1.2 in) sensor containing 37-megapixels.^[18] In 2010, Pentax released the 40MP 645D medium format DSLR with a 44 mm × 33 mm (1.7 in × 1.3 in) CCD sensor;^[19] later models of the 645 series kept the same sensor size but replaced the CCD with a CMOS sensor. In 2016, Hasselblad announced the X1D, a 50MP medium-format mirrorless camera, with a 44 mm × 33 mm (1.7 in × 1.3 in) CMOS sensor.^[20]

For interchangeable-lens cameras

Some professional DSLRs, SLTs and MILCs/EVILs use full-frame sensors, equivalent to the size of a frame of 35 mm film.

Most consumer-level DSLRs, SLTs and MILCs use relatively large sensors, either somewhat under the size of a frame of APS-C film, with a crop factor of 1.5–1.6; or 30% smaller than that, with a crop factor of 2.0 (this is the Four Thirds System, adopted by Olympus and Panasonic).

On September 2011, Nikon announced their new CX format, with a 1" sensor (2.7 crop factor).^[21] It has been used in the Nikon 1 camera system (Nikon J1 and V1 models).

As of November 2013 there is only one MILC model equipped with a very small sensor, more typical of compact cameras: the Pentax Q7, with a 1/1.7" sensor (4.55 crop factor). See Sensors equipping Compact digital cameras and camera-phones section below.

Many different terms are used in marketing to describe DSLR/SLT/MILC sensor formats, including the following:

860 mm² area Full-frame digital SLR format, with sensor dimensions nearly equal to those of 35 mm film (36×24 mm)
370 mm² area APS-C standard format from Nikon, Pentax, Sony, Fujifilm, Sigma (crop factor 1.5) (Actual APS-C film is bigger, however.)
330 mm² area APS-C smaller format from Canon (crop factor 1.6)
225 mm² area Micro Four Thirds System format from Panasonic, Olympus, Black Magic and Polaroid (crop factor 2.0)
116 mm² area 1" Nikon CX format used in Nikon 1 series and Samsung mini-NX series (crop factor 2.7)
43 mm² area 1/1.7" Pentax Q7 (4.55 crop factor)

Obsolescent and out-of-production sensor sizes include:

548 mm² area Leica's M8 and M8.2 sensor (crop factor 1.33). Current M-series sensors are effectively full-frame (crop factor 1.0).
548 mm² area Canon's APS-H format for high-speed pro-level DSLRs (crop factor 1.3). Current 1D/5D-series sensors are effectively full-frame (crop factor 1.0).
370 mm² area APS-C crop factor 1.5 format from Epson, Samsung NX, Konica Minolta.
286 mm² area Foveon X3 format used in Sigma SD-series DSLRs and DP-series mirrorless (crop factor 1.7). Later models such as the SD1, DP2 Merrill and the Quattro-series use a crop factor 1.5 Foveon sensor.
225 mm² area Four Thirds System format from Olympus (crop factor 2.0)
30 mm² area 1/2.3" original Pentax Q (5.6 crop factor). Current Q-series cameras have a crop factor of 4.55.

When full-frame sensors were first introduced, production costs could exceed twenty times the cost of an APS-C sensor. Only twenty full-frame sensors can be produced on an 8 inches (20 cm) silicon wafer, which would fit 100 or more APS-C sensors, and there is a significant reduction in yield due to the large area for contaminants per component. Additionally, full frame sensor fabrication originally required three separate exposures during the photolithography stage, which requires separate masks and quality control steps. Canon selected the intermediate APS-H size, since it was at the time the largest that could be patterned with a single mask, helping to control production costs and manage yields.^[22] Newer photolithography equipment now allows single-pass exposures for full-frame sensors, although other size-related production constraints remain much the same.

Due to the ever-changing constraints of semiconductor fabrication and processing, and because camera manufacturers often source sensors from third-party foundries, it is common for sensor dimensions to vary slightly within the same nominal format. For example, the Nikon D3 and D700 cameras' nominally full-frame sensors actually measure 36 × 23.9 mm, slightly smaller than a 36 × 24 mm frame of 35 mm film. As another example, the Pentax K200D's sensor (made by Sony) measures 23.5 × 15.7 mm, while the contemporaneous K20D's sensor (made by Samsung) measures 23.4 × 15.6 mm.

Most of these image sensor formats approximate the 3:2 aspect ratio of 35 mm film. Again, the Four Thirds System is a notable exception, with an aspect ratio of 4:3 as seen in most compact digital cameras (see below).

Nowadays, image quality of some Micro Four Thirds system cameras can be compared with APS-C cameras and even better than some of them. Due to the smaller sensor size, the m4/3 cameras still can’t compete with full frame and some APS-C cameras in High-ISO.^[23]

Smaller sensors

Most sensors are made for camera phones, compact digital cameras, and bridge cameras. Most image sensors equipping compact cameras have an aspect ratio of 4:3. This matches the aspect ratio of the popular SVGA, XGA, and SXGA display resolutions at the time of the first digital cameras, allowing images to be displayed on usual monitors without cropping.

As of December 2010 most compact digital cameras used small 1/2.3" sensors. Such cameras include Canon Powershot SX230 IS, Fuji Finepix Z90 and Nikon Coolpix S9100. Some older digital cameras (mostly from 2005–2010) used even smaller 1/2.5" sensors: these include Panasonic Lumix DMC-FS62, Canon Powershot SX120 IS, Sony Cyber-shot DSC-S700, and Casio Exilim EX-Z80.

High-end compact cameras using sensors of nearly twice the area of those equipping common compacts include Canon PowerShot G12 (1/1.7") and Powershot S90/S95 (1/1.7"), Ricoh GR Digital IV (1/1.7"), Nikon Coolpix P7100 (1/1.7"), Samsung EX1 (1/1.7"), Panasonic DMC-LX5 (1/1.63") and LX7 (1/1.7") and Olympus XZ-1(1/1.63"). Fujifilm FinePix X-10 (and subsequent high-end compact Fuji models) had a considerably larger, 2/3" sensor. Then, in 2012, Sony introduced DSC-RX100, a real compact (weight 213 grams (7.5 oz)) equipped with a relatively large 1" sensor. Canon also labels its PowerShot G1 X (equipped with a 1.5" sensor, larger than the 4/3" sensors on some compact DSLRs) as a "compact camera"; however, at 534 grams (18.8 oz) it is arguably a bridge camera rather than a compact.

For many years until Sep. 2011 a gap existed between compact digital and DSLR camera sensor sizes. The x axis is a discrete set of sensor format sizes used in digital cameras, not a linear measurement axis.

Finally, Sony has the DSC-RX1 and DSC-RX1R cameras in their lineup, which have a full-frame sensor usually only used in professional DSLRs, SLTs and MILCs.

Due to the constraints of powerful zoom objectives , most current bridge cameras have 1/2.3" sensors, as small as those used in common more compact cameras. In 2011 the high-end Fuji XS-1 was equipped with a much larger 2/3" sensor. In 2013-2014, both Sony (Cyber-shot DSC-RX10) and Panasonic (Lumix DMC-FZ1000) produced bridge cameras with 1" sensors.

The sensors of camera phones are typically much smaller than those of typical compact cameras, allowing greater miniaturization of the electrical and optical components. Sensor sizes of around 1/6" are common in camera phones, webcams and digital camcorders. The Nokia N8's 1/1.83" sensor was the largest in a phone in late 2011. The Nokia 808 surpasses compact cameras with its 41 million pixels, 1/1.2" sensor.^[24]

Table of sensor formats and sizes

Sensor sizes are expressed in inches notation because at the time of the popularization of digital image sensors they were used to replace video camera tubes. The common 1" circular video camera tubes had a rectangular photo sensitive area about 16mm diagonal, so a digital sensor with a 16 mm diagonal size was a 1" video tube equivalent. The name of a 1" digital sensor should more accurately be read as "one inch video camera tube equivalent" sensor. Current digital image sensor size descriptors are the video camera tube equivalency size, not the actual size of the sensor. For example, a 1" sensor has a diagonal measurement of 16mm.^[25]^[26]

Sizes are often expressed as a fraction of an inch, with a one in the numerator, and a decimal number in the denominator. For example, 1/2.5 converts to 2/5 as a simple fraction, or 0.4 as a decimal number. This "inch" system brings a result approximately 1.5 times the length of the diagonal of the sensor. This "optical format" measure goes back to the way image sizes of video cameras used until the late 1980s were expressed, referring to the outside diameter of the glass envelope of the video camera tube. David Pogue of The New York Times states that "the actual sensor size is much smaller than what the camera companies publish – about one-third smaller." For example, a camera advertising a 1/2.7" sensor does not have a sensor with a diagonal of 0.37"; instead, the diagonal is closer to 0.26".^[27]^[28]^[29] Instead of "formats", these sensor sizes are often called types, as in "1/2-inch-type CCD."

Due to inch-based sensor formats being not standardized, their exact dimensions may vary, but those listed are typical.^[28] The listed sensor areas span more than a factor of 1000 and are proportional to the maximum possible collection of light and image resolution (same lens speed, i.e., minimum F-number), but in practice are not directly proportional to image noise or resolution due to other limitations. See comparisons.^[30]^[31] Film format sizes are included for comparison.

Type	Diagonal (mm)	Width (mm)	Height (mm)	Area (mm²)	Stops (area)	Crop factor^[32]
1/10"	1.60	1.28	0.96	1.23	-9.51	27.04
1/8"	2.00	1.60	1.20	1.92	-8.81	21.65
1/6" (Panasonic SDR-H20, SDR-H200)	3.00	2.40	1.80	4.32	-7.64	14.14
1/4"^[33]	4.50	3.60	2.70	7.92	-6.81	10.81
1/3.6" (Nokia Lumia 720)^[34]	5.00	4.00	3.00	12.0	-6.16	8.65
1/3.2" (iPhone 5)^[35]	5.68	4.54	3.42	15.50	-5.80	7.61
Standard 8mm film frame	5.94	4.8	3.5	16.8	-5.73	7.28
1/3" (iPhone 5S, iPhone 6 ^[36])	6.00	4.80	3.60	17.30	-5.64	7.21
1/2.7"	6.72	5.37	4.04	21.70	-5.31	6.44
Super 8mm film frame	7.04	5.79	4.01	23.22	-5.24	6.15
1/2.5" (Nokia Lumia 1520, Sony Cyber-shot DSC-T5)	7.18	5.76	4.29	24.70	-5.12	6.02
1/2.3" (Pentax Q) (Sony Cyber-shot DSC-W330)(gopro hero 3) (Panasonic HX-A500)	7.66	6.17	4.55	28.50	-4.99	5.64
1/2.3" (Sony Exmor IMX220^[37])	7.87	6.30	4.72	29.73	-4.91	5.49
1/2" (Fujifilm HS30EXR) (Espros EPC 660)	8.00	6.40	4.80	30.70	-4.87	5.41
1/1.8" (Nokia N8) (Olympus C-5050, C-5060, C-7070)	8.93	7.18	5.32	38.20	-4.50	4.84
1/1.7" (Pentax Q7, Canon G10, G15)	9.50	7.60	5.70	43.30	-4.32	4.55
1/1.6"	10.07	8.08	6.01	48.56	-4.15	4.30
2/3" (Nokia Lumia 1020, Fujifilm X-S1, X20, XF1)	11.00	8.80	6.60	58.10	-3.89	3.93
Standard 16mm film frame	12.7	10.26	7.49	76.85	-3.49	3.41
1/1.2" (Nokia 808 PureView)	13.33	10.67	8.00	85.33	-3.34	3.24
Blackmagic Pocket Cinema Camera & Blackmagic Studio Camera	14.32	12.48	7.02	87.6	-3.30	3.02
Super 16mm film frame	14.54	12.52	7.41	92.80	-3.22	2.97
1" Sony RX100 and RX10, Nikon CX, Samsung NX Mini	15.86	13.20	8.80	116	-2.90	2.72
1" Digital Bolex d16	16.00	12.80	9.60	123	-2.81	2.70
Blackmagic Cinema Camera EF	18.13	15.81	8.88	140	-2.62	2.38
Four Thirds, Micro Four Thirds ("4/3", "m4/3")	21.60	17.30	13	225	-1.94	2.00
Blackmagic Production Camera/URSA/URSA Mini 4K	24.23	21.12	11.88	251	-1.78	1.79
1.5" Canon PowerShot G1 X Mark II	23.36	18.70	14	262	-1.72	1.85
"35mm" 2 Perf Techniscope	23.85	21.95	9.35	205.23	N/A	N/A
original Sigma Foveon X3	24.90	20.70	13.80	286	-1.60	1.74
"Super 35mm" 2 Perf	26.58	9.35	24.89	232.7	N/A	N/A
Canon EF-S, APS-C	26.82	22.30	14.90	332	-1.39	1.61
Standard 35mm film frame	27.20	22.0	16.0	352	-1.34	1.59
Blackmagic URSA/URSA Mini 4.6	28.20	25.34	14.25	361	-1.23	1.53
APS-C (Sony α DT, Sony E, Nikon DX, Pentax K, Samsung NX, Fuji X)	28.2–28.4	23.6–23.7	15.60	368–370	-1.23	1.52–1.54
"35mm 3 Perf"	28.48	24.89	13.86	344.97	N/A	N/A
Super 35mm film 4 Perf	31.11	24.89	18.66	464	-0.95	1.39
Canon APS-H	33.50	27.90	18.60	519	-0.73	1.29
35mm full-frame, (Canon EF, Nikon FX, Sony α, Sony FE, Leica M)	43.1–43.3	35.8–36	23.9–24	856–864	0	1.0
Leica S	54	45	30	1350	+0.64	0.80
Pentax 645D, Hasselblad X1D-50c,CFV-50c, Fuji GFX 50S	55	44	33	1452	+0.75	0.78
Standard 65mm film frame	57.30	52.48	23.01	1208	+0.81	0.76
Kodak KAF 39000 CCD^[38]	61.30	49	36.80	1803	+1.06	0.71
Leaf AFi 10	66.57	56	36	2016	+1.22	0.65
Medium-format (Hasselblad H5D-60)^[39]	67.08	53.7	40.2	2159	+1.26	0.65
Phase One P 65+, IQ160, IQ180	67.40	53.90	40.40	2178	+1.33	0.64
Medium Format Film 6x4.5	70	56	42	2352	+1.66	0.614
Medium Format Film 6x6	79	56	56	3136	+2	0.538
Medium Format Film 6x7	87	67	56	3752	+2.05	0.505
IMAX film frame	87.91	70.41	52.63	3706	+2.05	0.49
Large Format Film 4x5	150	121	97	11737	+3.8	0.29
Large Format Film 5x7	210	178	127	22606	+4.5	0.238
Large Format Film 8x10	300	254	203	51562	+6	0.143

Notes and references

1 2 Fellers, Thomas J.; Davidson, Michael W. "CCD Noise Sources and Signal-to-Noise Ratio". Hamamatsu Corporation. Retrieved 20 November 2013.
↑ Aptina Imaging Corporation. "Leveraging Dynamic Response Pixel Technology to Optimize Inter-scene Dynamic Range" (PDF). Aptina Imaging Corporation. Retrieved 17 December 2011.
↑ Loukianova, Natalia V.; Folkerts, Hein Otto; Maas, Joris P. V.; Verbugt, Joris P. V.; Daniël W. E. Mierop, Adri J.; Hoekstra, Willem; Roks, Edwin and Theuwissen, Albert J. P. (January 2003). "Leakage Current Modeling of Test Structures for Characterization of Dark Current in CMOS Image Sensors" (PDF). IEEE Transactions on Electron Devices. 50 (1): 77–83. doi:10.1109/TED.2002.807249. Retrieved 17 December 2011.
↑ "Dark Count". Apogee Imaging Systems. Retrieved 17 December 2011.
↑ Kavusi, Sam; El Gamal, Abbas (2004). "Quantitative Study of High Dynamic Range Image Sensor Architectures" (PDF). Proc. of SPIE-IS&T Electronic Imaging. 5301: 264–275. Retrieved 17 December 2011.
↑ Osuna, Rubén; García, Efraín. "Do Sensors "Outresolve" Lenses?". The Luminous Landscape. Retrieved 21 December 2011.
↑ Boreman, Glenn D. (2001). Modulation Transfer Function in Optical and Electro-Optical Systems. SPIE Press. p. 120. ISBN 978-0-8194-4143-0.
↑ Ozaktas, Haldun M; Urey, Hakan; Lohmann, Adolf W. (1994). "Scaling of diffractive and refractive lenses for optical computing and interconnections". Applied Optics. 33 (17): 3782–3789. doi:10.1364/AO.33.003782.
↑ Goodman, Joseph W (2005). Introduction to Fourier optics, 3rd edition. Greenwood Village, CO: Roberts and Company. p. 26. ISBN 0-9747077-2-4.
↑ Nasse, H. H. "From the Series of Articles on Lens Names: Tessar" (PDF). Carl Zeiss AG. Retrieved 19 December 2011.
↑ Simon Crisp. "Camera sensor size: Why does it matter and exactly how big are they?". Retrieved January 29, 2014.
↑ Stanislav Utochkin. "Specifying active area size of the image sensor". Retrieved May 21, 2015.
↑ Catrysse, Peter B.; Wandell, Brian A. (2005). "Roadmap for CMOS image sensors: Moore meets Planck and Sommerfeld" (PDF). Proceedings of the International Society for Optical Engineering. 5678 (1). doi:10.1117/12.592483. Retrieved 29 January 2012.
↑ DxOmark. "F-stop blues". DxOMark Insights. Retrieved 29 January 2012.
↑ Aptina Imaging Corporation. "An Objective Look at FSI and BSI" (PDF). Aptina Technology White Paper. Retrieved 29 January 2012.
↑ "Kodak Announces Highest Resolution Image Sensors for Professional Photography" (Press release). Kodak. 2005-10-20.
↑ "The Phase One P+ Product Range". PHASE ONE. Retrieved 2010-06-07.
↑ "Leica S2 with 56% larger sensor than full frame" (Press release). Leica. 2008-09-23. Retrieved 2010-06-07.
↑ "Pentax unveils 40MP 645D medium format DSLR" (Press release). Pentax. 2010-03-10. Retrieved 2010-12-21.
↑ Johnson, Allison (2016-06-22). "Medium-format mirrorless: Hasselblad unveils X1D". Digital Photography Review. Retrieved 2016-06-26.
↑ "Nikon unveils J1 small sensor mirrorless camera as part of Nikon 1 system", Digital Photography Review .
↑ "Canon's Full Frame CMOS Sensors" (PDF) (Press release). 2006. Retrieved 2013-05-02.
↑ Stefe Huff (February 18, 2015). "The Olympus OM-D E-M5 Mark II Review. Olympus continues to innovate". Retrieved March 6, 2015.
↑ http://europe.nokia.com/PRODUCT_METADATA_0/Products/Phones/8000-series/808/Nokia808PureView_Whitepaper.pdf Nokia PureView imaging technology whitepaper
↑ Staff (7 October 2002). "Making (some) sense out of sensor sizes". Digital Photography Review. Digital Photography Review. Retrieved 29 June 2012.
↑ Staff. "Image Sensor Format". Imaging Glossary Terms and Definitions. SPOT IMAGING SOLUTIONS. Retrieved 3 June 2015.
↑ Pogue, David (2010-12-22). "Small Cameras With Big Sensors, and How to Compare Them". The New York Times.
1 2 Bockaert, Vincent. "Sensor Sizes: Camera System: Glossary: Learn". Digital Photography Review. Retrieved 2012-04-09.
↑
↑ Camera Sensor Ratings DxOMark
↑ Imaging-resource: Sample images Comparometer Imaging-resource
↑ Defined here as the ratio of the diagonal of a full 35 frame to that of the sensor format, that is CF=diag_35mm / diag_sensor.
↑ "Unravelling Sensor Sizes - Photo Review". www.photoreview.com.au. Retrieved 2016-09-22.
↑ Nokia Lumia 720 – Full phone specifications, GSMArena.com, February 25, 2013, retrieved 2013-09-21
↑ Camera sensor size: Why does it matter and exactly how big are they?, Gizmag, March 21, 2013, retrieved 2013-06-19
↑ Comparison of iPhone Specs, PhoneArena
↑ "Diagonal 7.87mm (Type 1/2.3) 20.7M Pixel CMOS Image Sensor with Square Pixel for Color Cameras" (PDF). Sony. Retrieved 21 October 2014.
↑ KODAK KAF-39000 IMAGE SENSOR, DEVICE PERFORMANCE SPECIFICATION (PDF), KODAK, April 30, 2010, retrieved 2014-02-09
↑ Hasselblad H5D-60 medium-format DSLR camera, B&H PHOTO VIDEO, retrieved 2013-06-19

External links

Eric Fossum: Photons to Bits and Beyond: The Science & Technology of Digital, Oct. 13, 2011 (YouTube Video of lecture)
Joseph James: Equivalence at Joseph James Photography
Simon Tindemans: Alternative photographic parameters: a format-independent approach at 21stcenturyshoebox
Compact Camera High ISO modes: Separating the facts from the hype at dpreview.com, May 2007
The best compromise for a compact camera is a sensor with 6 million pixels or better a sensor with a pixel size of >3µm at 6mpixel.org

Sensors

Acoustic, sound, vibration	Geophone Hydrophone Microphone Seismometer

Automotive, transportation	Air–fuel ratio meter Blind spot monitor Crankshaft position sensor Curb feeler Defect detector Engine coolant temperature sensor Hall effect sensor MAP sensor Mass flow sensor Omniview technology Oxygen sensor Parking sensors Radar gun Speed sensor Speedometer Throttle position sensor Tire-pressure monitoring system Torque sensor Transmission fluid temperature sensor Turbine speed sensor Variable reluctance sensor Vehicle speed sensor Water sensor Wheel speed sensor

Chemical	Breathalyzer Carbon dioxide sensor Carbon monoxide detector Catalytic bead sensor Chemical field-effect transistor Electrochemical gas sensor Electrolyte–insulator–semiconductor sensor Electronic nose Fluorescent chloride sensors Holographic sensor Hydrocarbon dew point analyzer Hydrogen sensor Hydrogen sulfide sensor Infrared point sensor Ion selective electrode Microwave chemistry sensor Nitrogen oxide sensor Nondispersive infrared sensor Olfactometer Optode Oxygen sensor Pellistor pH glass electrode Potentiometric sensor Redox electrode Smoke detector Zinc oxide nanorod sensor

Electric, magnetic, radio	Current sensor Electroscope Galvanometer Hall effect sensor Hall probe Magnetic anomaly detector Magnetometer MEMS magnetic field sensor Metal detector Planar Hall sensor Radio direction finder Test light

Environment, weather, moisture	Actinometer Bedwetting alarm Ceilometer Dew warning Electrochemical gas sensor Fish counter Frequency domain sensor Gas detector Hook gauge evaporimeter Humistor Hygrometer Leaf sensor Psychrometer Pyranometer Pyrgeometer Rain gauge Rain sensor SNOTEL Snow gauge Soil moisture sensor Stream gauge Tide gauge Weather radar

Flow, fluid velocity	Air flow meter Anemometer Flow sensor Gas meter Mass flow sensor Water metering

Ionising radiation, subatomic particles	Bubble chamber Cloud chamber Geiger counter Neutron detection Particle detector Scintillation counter Scintillator Wire chamber

Navigation instruments	Airspeed indicator Machmeter Altimeter Attitude indicator Depth gauge Fluxgate compass Gyroscope Inertial navigation system Inertial reference unit Magnetic compass MHD sensor Ring laser gyroscope Turn coordinator Variometer Vibrating structure gyroscope Yaw-rate sensor

Position, angle, displacement	Accelerometer Auxanometer Capacitive displacement sensor Capacitive sensing Gravimeter Inclinometer Integrated circuit piezoelectric sensor Laser rangefinder Laser surface velocimeter Lidar Linear encoder Linear variable differential transformer Liquid capacitive inclinometers Odometer Photoelectric sensor Piezoelectric accelerometer Position sensor Rate sensor Rotary encoder Rotary variable differential transformer Selsyn Sudden Motion Sensor Tachometer Tilt sensor Ultrasonic thickness gauge Variable reluctance sensor Velocity receiver

Optical, light, imaging	Charge-coupled device Contact image sensor Electro-optical sensor Flame detector Infrared Kinetic inductance detector LED as light sensor Light-addressable potentiometric sensor Nichols radiometer Optical fiber Photodetector Photodiode Photoelectric sensor Photoionization detector Photomultiplier Photoresistor Photoswitch Phototransistor Phototube Position sensitive device Scintillometer Shack–Hartmann wavefront sensor Single-photon avalanche diode Superconducting nanowire single-photon detector Transition edge sensor Tristimulus colorimeter Visible-light photon counter Wavefront sensor

Pressure	Barograph Barometer Boost gauge Bourdon gauge Hot-filament ionization gauge Ionization gauge McLeod gauge Oscillating U-tube Permanent Downhole Gauge Piezometer Pirani gauge Pressure gauge Pressure sensor Tactile sensor Time pressure gauge

Force, density, level	Bhangmeter Force gauge Hydrometer Level sensor Load cell Magnetic level gauge Nuclear density gauge Piezoelectric sensor Strain gauge Torque sensor Viscometer

Thermal, heat, temperature	Bimetallic strip Bolometer Calorimeter Exhaust gas temperature gauge Flame detection Gardon gauge Golay cell Heat flux sensor Infrared thermometer Microbolometer Microwave radiometer Net radiometer Quartz thermometer Resistance thermometer Silicon bandgap temperature sensor Special sensor microwave/imager Thermistor Thermocouple Thermometer

Proximity, presence	Alarm sensor Doppler radar Motion detector Occupancy sensor Passive infrared sensor Proximity sensor Reed switch Stud finder Touch switch Triangulation sensor Wired glove

Sensor technology	Active pixel sensor Back-illuminated sensor Biochip Biosensor Capacitance probe Carbon paste electrode Catadioptric sensor Digital sensors Displacement receiver Electromechanical film Electro-optical sensor Fabry–Pérot interferometer Fisheries acoustics Image sensor Image sensor format Inductive sensor Intelligent sensor Lab-on-a-chip Leaf sensor Machine vision Microelectromechanical systems Photoelasticity Quantum sensor Radar Ground-penetrating radar Synthetic aperture radar Radar tracker Sensor array Sensor fusion Sensor grid Sensor node Soft sensor Sonar Staring array Transducer Ultrasonic sensor Video sensor technology Visual sensor network Wheatstone bridge Wireless sensor network

Related	List of sensors

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