The brightness or darkness of a pixel or surface — independent of hue and saturation. Determines if a composition works visually, not color.
Value
Mastering the value — the pure luminance of a surface or a pixel — is the foundation of image composition. It's not color that makes your image readable, but the distribution of light and dark. A red suit on a red background of the same value will disappear completely; conversely, a subject immediately separates from the background when the value contrasts. This is not theory — this is the problem that is decided daily on set.
Practically, you work with values when setting up your lighting. The key light creates the primary light-dark structure; the fill controls how deep the shadows become. A high-contrast scene — extreme differences between highlight and shadow — appears dramatic and sharply defines the spatiality. Low-contrast lighting with similar values everywhere creates flatness or intimacy, depending on the intention. In a high-key look, bright values dominate; in a low-key look, values gather in the dark regions — both are value decisions, not color decisions.
In editing and color correction, you will constantly analyze values — via histograms, via waveform monitors. A good histogram doesn't show you if your image is beautiful, but whether the tonal ranges are sensibly distributed. You need blacks, midtones, and highlights in the correct proportion to each other. If everything is clustered in the mid-value range, you lack visual clarity. Value is also crucial for compressibility — extreme clipping in the whites or blacks costs detail and manipulability in post.
A classic mistake: confusing values with exposure. Exposure is the amount of light hitting the sensor; value is the resulting image signal. You can influence a value by changing the lighting or by choosing the aperture — the result is the same value, but different depth of field. Therefore, understanding value independently of mere exposure handling is essential. It's about composition, readability, emotional impact — not just technical numbers.