Histogram

A histogram is a bar graph showing how many pixels of an image fall on each brightness value from black to white.

What this is about

Photographers grew up on the histogram, and it travels with them into filmmaking, where its blindness matters more. The graph knows how many pixels are dark but not whether they belong to a lit face or a black curtain, so a perfectly acceptable night shot and a badly underexposed one can draw the same curve. For placing skin, a waveform or false color answers faster.

A term only helps when everyone on set means the same thing by it — so what follows is how it is used, not a dictionary definition.

What runs differently here

Where this differs from the general case:

  • The histogram has no spatial axis at all, so it cannot say which part of the frame is too bright.
  • There is no correct histogram shape — a night scene should pile up on the left, and that is not an error.
  • Per-channel histograms are useful for spotting one colour clipping under mixed light sources.

With TillyGen

TillyGen keeps monitoring gear in the equipment list per unit, so a second camera is not left reading exposure off a small on-body display.

Change one constraint and the consequences travel through the whole plan: affected shots are flagged, the call sheet is regenerated, and nobody keeps working from yesterday's version.

Frequently asked

Why do film crews prefer a waveform over the histogram?

Because they need to know where a problem sits, not only that one exists. The waveform keeps the horizontal position of the frame; the histogram discards it.

How long does it take to get started with TillyGen?

A first project takes under an hour to set up. There is no configuration phase in which templates and fields have to be defined before the tool produces anything.

Can the results be exported?

Yes — as PDF for the crew, CSV for downstream systems and through the API for anything automated. The plan stays the source; the exports are views of it.