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Pixel density

Pixel density is a engineering 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 Pixel density rather than just read about it. In short: Pixels per inch (ppi) and pixels per centimetre (ppcm or pixels/cm) are measurements of the pixel density of an electronic image device, such as a computer monitor or a television set's display, or image digitizing device such as a camera or image scanner. Horizontal and vertical density are usually the same, as most devices have square pixels, but differ on devices that have non-square pixels.

Pixel density — main illustration
Pixel density — illustration

Key takeaways

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

Reference excerpt

Pixels per inch (ppi) and pixels per centimetre (ppcm or pixels/cm) are measurements of the pixel density of an electronic image device, such as a computer monitor or a television set's display, or image digitizing device such as a camera or image scanner. Horizontal and vertical density are usually the same, as most devices have square pixels, but differ on devices that have non-square pixels. Pixel density is not the same as resolution — where the former describes the amount of detail on a physical surface or device, the latter describes the amount of pixel information regardless of its scale. Considered in another way, a pixel has no inherent size or unit (a pixel is actually a sample), but when it is printed, displayed, or scanned, then the pixel has both a physical size (dimension) and a pixel density (ppi).

Basic principles Since most digital hardware devices use dots or pixels, the size of the media (in inches) and the number of pixels (or dots) are directly related by the pixels per inch. The following formula gives the number of pixels, horizontally or vertically, given the physical size of a format and the pixels per inch of the output:

Number of Pixels = Size in Inches ∗ PPI {\displaystyle {\text{Number of Pixels}}={\text{Size in Inches}}*{\text{PPI}}}

Pixels per inch (or pixels per centimetre) describes the detail of an image file when the print size is known. For example, a 100 × 100 pixel image printed in a 2-inch square has a resolution of 50 pixels per inch. Used this way, the measurement is meaningful when printing an image. In many applications, such as Adobe Photoshop, the program is designed so that one creates new images by specifying the graphic output device and PPI (pixels per inch). Thus the output target is often defined upon creating the image.

Outputting to a different device When moving images between devices, such as printing an image that was created on a monitor, it is important to understand the pixel density of both devices. Consider a 23″ HD monitor (20″ wide), that has a known, native resolution of 1920 pixels (horizontal). Let us assume an artist created a new image at this monitor resolution of 1920 pixels, possibly intended for the web without regard to printing. Rewriting the formula above can tell us the pixel density (PPI) of the image on the monitor display:

PPI (monitor) = Number of Pixels Size in Inches = 1920 20 = 96 ppi {\displaystyle {\text{PPI (monitor)}}={\frac {\text{Number of Pixels}}{\text{Size in Inches}}}={\frac {1920}{20}}=96{\text{ ppi}}}

Now, let us imagine the artist wishes to print a larger banner 48 inches horizontally. We know the number of pixels in the image and the size of the output, from which we can use the same formula again to give the PPI of the printed poster:

PPI (poster) = Number of Pixels Size in Inches = 1920 48 = 40 ppi {\displaystyle {\text{PPI (poster)}}={\frac {\text{Number of Pixels}}{\text{Size in Inches}}}={\frac {1920}{48}}=40{\text{ ppi}}}

This shows that the output banner will have only 40 pixels per inch. Since a printer device is capable of printing at 300 ppi, the resolution of the original image is well below what would be needed to create a decent quality banner, even if it looked good on a monitor for a website. We would say more directly that a 1920 × 1080 pixel image does not have enough pixels to be printed in a large format.

Printing on paper Printing on paper is accomplished with different technologies. Newspapers and magazines were traditionally printed using a halftone screen, which would print dots at a given frequency, the screen frequency, in lines per inch (LPI) by using a purely analog process in which a photographic print is converted into variable sized dots through interference patterns passing through a screen. Modern inkjet printers can print microscopic dots at any location, and don't require a screen grid, with the metric dots per inch (DPI). These are both different from pixel density or pixels per inch (PPI) because a pixel is a single sample of any color, whereas an inkjet print can only print a dot of a specific color either on or off. Thus, a printer translates the pixels into a series of dots using a process called dithering. The dot pitch, the smallest size of each dot, is also determined by the type of paper the image is printed on. An absorbent paper surface, uncoated recycled paper for instance, lets ink droplets spread — so has a larger dot pitch. Often one wishes to know the image quality in pixels per inch (PPI) that would be suitable for a given output device. If the choice is too low, then the quality will be below what the device is capable of—loss of quality—and if the choice is too high then pixels will be stored unnecessarily—wasted disk space. The ideal pixel density (PPI) depends on the output format, output device, the intended use and artistic choice. For inkjet printers measured in DPI it is generally good practice to use half or less than the DPI to determine the PPI. For example, an image intended for a printer capable of 600 dpi could be created at 300 ppi. When using other technologies such as AM or FM screen printing, there are often published screening charts that indicate the ideal PPI for a printing method. Using the DPI or LPI of a printer remains useful to determine PPI until one reaches larger formats, such as 36" or higher, as the factor of visual acuity then becomes more important to consider. If a print can be viewed close up, then one may choose the printer device limits. However, if a poster, banner or billboard will be viewed from far away then it is possible to use a much lower PPI.

… excerpt ends here. Continue reading the full article.

Illustrations

Pixel density illustration

Worked examples

Example 1 — a first encounter with Pixel density

Start with the simplest possible case. Write down what Pixel density claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, 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 Pixel density 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 Pixel density 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 Pixel density

In research
Pixel density appears in engineering 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 Pixel density 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
Pixel density is common in secondary-school and first-year university syllabi. It links to neighbouring topics Density, Digital imaging, Digital photography, so understanding it makes those chapters shorter.
In everyday life
Look for Pixel density 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 Pixel density in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Pixel density 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 Pixel density out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Pixel density in simple terms?

Pixels per inch (ppi) and pixels per centimetre (ppcm or pixels/cm) are measurements of the pixel density of an electronic image device, such as a computer monitor or a television set's display, or image digitizing device such as a camera or image scanner. Horizontal and vertical density are usuall…

Why does Pixel density matter?

Because it connects several engineering 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 Pixel density?

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 Pixel density.

Tags

  • Density
  • Digital imaging
  • Digital photography
  • Engineering ratios

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