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Image sensor format

Image sensor format is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Image sensor format rather than just read about it. In short: 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 sensor.

Image sensor format — main illustration
Image sensor format — illustration

Key takeaways

  • Image sensor format belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Image sensor format to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Image sensor format from memory before moving on to harder problems.

Reference excerpt

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 sensor. Because the image sensors in many digital cameras are smaller than the 24 mm × 36 mm image area of full-frame 35 mm cameras, a lens of a given focal length gives a narrower field of view in such cameras. Sensor size 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:

D O F 2 D O F 1 ≈ d 1 d 2 {\displaystyle {\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 {\displaystyle d_{1}} and d 2 {\displaystyle 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). This condition of equal field of view, equal depth of field, equal aperture diameter, and equal exposure time is known as "equivalence". 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

D O F 2 D O F 1 ≈ l 1 l 2 {\displaystyle {\frac {\mathrm {DOF} _{2}}{\mathrm {DOF} _{1}}}\approx {\frac {l_{1}}{l_{2}}}}

where l 1 {\displaystyle l_{1}} and l 2 {\displaystyle l_{2}} are the characteristic dimensions of the format, and thus l 1 / l 2 {\displaystyle 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

… excerpt ends here. Continue reading the full article.

Illustrations

Image sensor format: Comparative dimensions of sensor sizes
Comparative dimensions of sensor sizes
Image sensor format: Sizes of sensors used in most current digital cameras relative to a standard 35 mm frame
Sizes of sensors used in most current digital cameras relative to a standard 35 mm frame
Image sensor format: 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.
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.
Image sensor format: Different sizes of Omnivision CMOS sensors: an OV7910 (1/3") and three OV6920 (1/18") sensors, both types with composite video (NTSC) outputs
Different sizes of Omnivision CMOS sensors: an OV7910 (1/3") and three OV6920 (1/18") sensors, both types with composite video (NTSC) outputs
Image sensor format: The development of different format image sensors in the main cameras of smartphones
The development of different format image sensors in the main cameras of smartphones

Worked examples

Example 1 — a first encounter with Image sensor format

Start with the simplest possible case. Write down what Image sensor format claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Image sensor format before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Image sensor format ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Image sensor format

In research
Image sensor format appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Image sensor format in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Image sensor format is common in secondary-school and first-year university syllabi. It links to neighbouring topics Digital photography, Image sensors, so understanding it makes those chapters shorter.
In everyday life
Look for Image sensor format outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Image sensor format in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Image sensor format means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Image sensor format out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Image sensor format in simple terms?

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 sensor.

Why does Image sensor format matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Image sensor format?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Image sensor format.

Tags

  • Digital photography
  • Image sensors

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