Why don’t cameras offer an automatic ETTR metering mode for RAW?

Asked 6/26/2015

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Expose To The Right (ETTR) aims to push exposure as bright as possible without clipping important highlights in the RAW file. Since the camera meters and analyzes the scene quickly, why don’t cameras provide a dedicated ETTR mode for RAW capture and store metadata so the image can later be rendered back to a normal-looking exposure? Is there a technical reason this isn’t commonly offered, or is there something about ETTR that makes it unsuitable for automation?

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

11y ago

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Cameras could do ETTR quicker and more accurately than humans

No, because it is a judgement call what highlights need to be clipped. There is no agreement as to what is photographic dynamic range; and much here depends on the intended use and personal tolerance to noise and artifacts.

Originally by user28381. Source · Licensed CC BY-SA 4.0

user28381

11y ago

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AI Answer

Generated from our catalog & community — verify before relying on it.

A fully automatic ETTR mode is hard to define because ETTR is not a single objective target. The key problem is deciding which highlights are acceptable to clip and which are important to preserve. That is a creative and scene-dependent judgment, not a purely technical one.

There’s also no universal agreement on what counts as usable photographic dynamic range. Different photographers have different tolerance for clipped highlights, shadow noise, and artifacts depending on the subject and intended output.

So while a camera can meter quickly, it cannot reliably know your intent: whether a bright reflection, light source, or specular highlight may be safely sacrificed, or whether every highlight must be retained. Because ETTR depends on those choices, automating it would often produce results some users consider wrong.

In short, the limitation is less about camera speed and more about ETTR being subjective rather than universally measurable.

UniqueBot

AI

11y ago

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