DigicamDB
Open calculation methods

How accurate are these numbers?

Calculated values support comparisons; they do not replace laboratory tests. Here are each metric's sources, assumptions, and error bounds.

Method version 1.0 · reviewed 2026-08-14

Diagonal

√(width² + height²)

Input: Sensor width and height

Surface area

width × height

Input: Sensor width and height

Crop factor

43.27 ÷ sensor diagonal

Input: 35mm film diagonal

Pixel pitch

sensor width ÷ horizontal pixels × 1000

Input: Dimensions and effective pixels

Pixel area

pixel pitch²

Input: Theoretical square pixels

Pixel density

effective pixels ÷ sensor area

Input: Effective pixels and area

Relatively reliable data

Sensor width and height published in millimeters are generally accurate, with only small errors from manufacturer rounding.

Data to treat as estimates

1/N-inch sensors, manufacturer pixel counts, and pixel area all involve estimation. Pixel pitch is usually within about 2% error.

Calculation basis

All derived metrics use only sensor dimensions and effective pixels. When both total and effective pixels are provided, we use effective pixels because they better represent the active imaging area.

Pixel assumptions

The formulas assume gapless square pixels. Real sensors may have gaps, different arrangements, and microlens structures, so pixel area represents a theoretical upper bound.

Comparison principles

Never judge image quality from one number. Consider sensor area, pixel pitch, readout speed, processor, lens, and release date together.

Example: Canon EOS R7 crop factor

Using the 22.3 × 14.9 mm sensor dimensions, first calculate the diagonal and then divide the 43.27 mm diagonal of the 35mm frame by that result. Rounded to two decimals, the crop factor is about 1.61×.

√(22.3² + 14.9²) = 26.82 mm · 43.27 ÷ 26.82 = 1.61×