Colour grading in Capture One: why Oliver does not use presets

The most common mistake photographers make when opening Capture One for the first time is reaching straight for the preset library. It feels productive — a single click and the image already has contrast, warmth, a mood. But that click also fixes assumptions about colour balance, shadow lift and saturation that were made for somebody else's camera, somebody else's light, somebody else's subject. By the time the image looks close to right, five or six adjustments have been stacked on top of a foundation that was never designed for this particular file. Oliver, working from his base in Hokkaido, encountered exactly this trap in his early years and spent a long time quietly unpicking it. What he arrived at is a processing approach that is slower to start but far more coherent to finish — and the difference is visible in everything from the cool blue hours of a Shakotan Peninsula winter morning to the warm amber of a Japanese midsummer evening skin portrait.

The cost of starting with someone else's interpretation ¶

A preset is, at its core, a saved opinion. The person who built it had a camera model, a preferred shooting style and a set of subjects in mind — and those conditions shaped every slider value baked into that file. When Oliver shoots tethered in a studio in Tokyo on an overcast February afternoon, the light coming through north-facing windows has a colour temperature somewhere around 6200–6500 K, a flat spectral quality and almost no UV spike. A preset designed for golden-hour landscapes in another climate will fight that light at the white balance stage, overcorrect in the skin tone hue controls and introduce a lift in the blacks that flattens exactly the separation Oliver is trying to preserve between a subject's jawline and the background grey. The errors are not dramatic. They are cumulative, and they are invisible until they are not.

The subtler cost is cognitive. When an image already looks 'kind of finished' from the moment it opens, the photographer stops asking basic questions: what is the actual colour temperature of this light, what are the neutrals in this frame telling me, where is the skin tone sitting on the vectorscope? Oliver noticed that after a period of heavy preset use he was spending more time adjusting away from someone else's starting point than building toward his own. The reset, when it came, was simply switching the base curve to Linear Scientific and the ICC profile to the camera-neutral option, and then sitting with an image that looked flat, accurate and entirely his own problem to solve.

What a neutral base actually gives you in Capture One ¶

Starting from a neutral base in Capture One means, in practice, selecting a camera profile that makes no creative decisions — no saturation push, no contrast S-curve, no shadow lift baked in at the rendering stage. In Capture One Pro, Oliver uses the 'Camera Standard' or 'Linear Response' profile depending on the camera body, then sets the white balance to a measured reading taken from a grey card shot at the beginning of each session or location. The image that results looks underwhelmingly close to what the sensor actually recorded. That is the point.

From that honest starting position, colour grading becomes a conversation with the light rather than a correction of someone else's interpretation of it. For landscape work shot around the Sunnmøre Alps in early autumn, the light between 07:30 and 09:00 carries a genuine warmth in the reds and a slight desaturation in the blues that is already present in the raw data. Oliver moves into the Colour Editor's skin tone range and the Advanced Colour tab to protect specific hue ranges before he touches any global tools. The order matters: protect the ranges you care about, then adjust globally, then return to check the protected ranges again. A preset collapses that sequence into a single moment of automation.

The practical results are clearest in mixed-light situations — the kind that appear often when shooting indoors near a window in a Japanese coastal town in October, where tungsten from a ceiling fixture competes with the blue-grey daylight from the west. A preset tries to average those two sources, and it rarely succeeds. Oliver addresses them separately using the white balance dropper on the dominant source, then uses the Luma Range mask to target the shadow regions where the tungsten is pooling and shifts only those areas warmer in the Colour Balance tool. The result holds more of the actual atmosphere of the room.

Every preset carries a buried assumption about light, and sooner or later that assumption costs you a skin tone.

The specific tools Oliver returns to, in order ¶

After years of refinement, Oliver's neutral-base workflow in Capture One follows a consistent internal sequence. It is not rigid — he changes it for sports work versus portrait sessions versus the long-exposure coastal landscapes he shoots around Ålesund in winter — but the logic underneath it is stable.

The sequence, stripped to its core, covers these stages:

• White balance from a measured source, not Auto — Oliver notes the Kelvin value and writes it in the capture's metadata notes for reference on the next session at the same location.
• Exposure set so that the brightest important highlight sits no higher than 95 on the curve, leaving room for the luminosity structure to breathe.
• Base curve selection: Linear Scientific for high-dynamic-range landscape files; Film Standard for portraits where a gentle shoulder on the highlights is appropriate.
• Colour Editor skin tone range locked with a narrow hue selection centred on the subject's actual skin, checked against a reference grey card crop from the same session.
• Global colour grading in Colour Balance — shadows, midtones and highlights addressed separately, informed by what the neutral base has already revealed rather than imposed.
• Sharpening and noise reduction last, after the colour work is complete, so that the noise tools are not fighting colour shifts that are still in motion.

Skin tones, landscape colour and where they overlap ¶

The question Oliver returns to most often when teaching or in conversation with other photographers is why skin tone accuracy and landscape colour accuracy feel like separate problems when they are, underneath, the same problem. Both depend on understanding what a neutral actually is in a given light, and what the camera's sensor has done to that neutral in the process of recording it. In Capture One, the ICC profile and the base curve together define the container into which the raw data is poured. Change the container and the same raw data produces a different result — which is why the same file can look completely different when opened with a manufacturer preset versus a neutral base.

Oliver spent a spring shooting environmental portraits along the Geirangerfjord, pairing wide landscape frames with close portrait work of local farmers and boat operators. The challenge was that the light in that valley in May is partially reflected off the water, which adds a slight cyan cast to shadows that is almost flattering in a landscape context but pushes Scandinavian skin tones — already relatively desaturated — toward an ashy, slightly ill quality. A preset designed for travel or landscape work would have left that cast untouched or even amplified it. Working from neutral, Oliver could see the cast immediately in the grey card reference, address it at the white balance stage, and then fine-tune the shadow hue in Colour Balance to keep the cyan cast in the background water where it belonged, without it migrating into the skin.

That kind of surgical separation is only available when the starting point is honest. The interesting question — one Oliver has not fully resolved — is whether the discipline of working from neutral changes how a photographer sees light before the shutter fires, not just after the file opens.

Oliver's approach is not a method that speeds up a workflow or simplifies decisions. It is one that defers automation in favour of attention, and the place where that attention pays off is in the files that would otherwise have looked nearly right but quietly wrong. Whether that trade — more time at the computer, more clarity in the result — is worth it probably depends on what the photographer believes the colour in a photograph is actually for.