It’s a setting that fills the inconsistencies in exposure among different formats and pixel sizes. Commonly referred to as ‘sensitivity’, which is only half-true. The bigger a pixel is, the more light it can collect – resulting in lower noise, generally. It is the length of one side, in micrometres, μms. Pixel Size. The physical size of a single pixel. It’s usually given in megapixels, MPs – 1,000,000 pixels. Pixel Count. The number of pixels found on a sensor. There are millions of them on a camera sensor – they build the image. Pixels are the smallest component affecting image data. You can find it on your camera at the ∅ symbol.Ĭrop Factor. The ratio of the full-frame diagonal compared to any given format’s sensor diagonal. Sensor Plane. The plane at which the sensor or film is within a camera. Can be directly calculated from the two sides with the Pythagorean theorem. Sensor Diagonal. The length of a sensor’s diagonal is used to calculate the crop factor. The size of a full-frame sensor is 36mm x 24mm. Sensor Size. The area of any sensor, given by the length of its sides. There are also smaller ones used in phones and compact cameras. The most common are full-frame, APS-C and Micro Four Thirds format cameras. Camera Termsįormat refers to standard sensor sizes.
To avoid confusion later on, it’s crucial that you fully understand them. Most of them are used in everyday photography, but there are some you have probably never heard. Photography Terms to Clarifyįirst, I must clarify a few photography terms. Expect some maths and numbers, but in an easy-to-digest, comprehensive form.
Using equivalence, you can compare and choose the best tools for your needs. You should, however, know your tools, especially if you want to become an expert.Įquivalence helps with that. These are part of it, but no one will ever judge your photos based on the equipment you’re using. Photography is not all about technical gear, specifications, and calculations.
If you’re at the start of your journey in photography, it’s not the most important concept to understand. If you’re only familiar with one camera system (say, Micro Four Thirds), and haven’t used a different system, it will mean nothing to you. Why Should You Care About Equivalence?Įquivalence is a topic that not only confuses people, but some also think that it’s useless. That point is the full-frame sensor and full-frame camera systems. It does this by comparing everything to a set point. This diversity is why equivalence exists – to help standardise everything. One can easily get lost in the wilderness of different sensor sizes, focal lengths, and camera types.
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