How to Fix Blown Out Highlights in Lightroom
- Open the RAW file in the Develop module and press J to show clipping warnings. Clipped highlights turn red.
- Drag Highlights to the left until detail returns.
- Lower Whites to bring back the brightest tones that are still red.
- If the whole image is too bright, reduce Exposure and lift Shadows to compensate.
- Areas that stay red are clipped in all channels. Tone them down with a mask, or leave them as clean white.
What Are Blown Highlights?
A blown highlight occurs when a part of the image is so bright that the sensor cannot record any detail — it is clipped to maximum value (pure white). In the histogram, blown highlights appear as a spike against the right edge.
Common scenarios that produce blown highlights:
- Sky in landscape photos exposed for the foreground
- Windows in interior architecture shots
- White clothing in bright sunlight (wedding dresses, shirts)
- Specular reflections on water, metal, or glass
- Flash-lit subjects with too much power or too close a distance
In a JPG file, blown highlights are gone forever. The pixel data reads R:255 G:255 B:255 — pure white with no detail. But in a RAW file, there is often recoverable data hidden beyond what the preview shows. For the other ways RAW differs from JPEG, see RAW vs JPEG and when to shoot RAW.
How RAW Captures More Dynamic Range
RAW files capture approximately 1–2 extra stops of highlight data beyond what the JPG preview displays. This is because:
- Sensor headroom: Digital sensors have more linear range in the highlights than the standard JPG tone curve uses. The RAW data contains highlight information that the camera’s JPG processing clips.
- Per-channel clipping: Highlights are often blown in only one or two color channels. A bright blue sky might clip the blue channel while red and green still have data. RAW processors can reconstruct detail using the surviving channel data.
- Higher bit depth: 14-bit data provides fine gradations in the highlights that are lost when compressed to 8-bit JPG. Why 14-bit RAW keeps so much more highlight detail is explained in 8-bit vs 16-bit images and what bit depth changes.
Important distinction: There is a difference between highlights that look blown in the JPG preview and highlights that are truly clipped at the sensor level. RAW recovery works on the first type. If all three color channels are clipped at maximum sensor value, no software can recover detail that was never captured.
Highlight Recovery Techniques
1. Exposure slider (negative)
The most basic technique. Pulling the exposure slider to the left (e.g., -1 or -2 stops) brings the overall image darker and reveals hidden highlight detail. The downside is that the entire image gets darker, including the shadows you want to keep bright.
2. Highlights slider
Available in Lightroom, Camera Raw, and most modern RAW processors. The Highlights slider specifically targets the bright areas without affecting midtones and shadows. Pull it to the left to recover blown areas while keeping the rest of the image properly exposed. This is the most commonly used tool for highlight recovery.
3. Whites slider
Works in conjunction with the Highlights slider. The Whites slider targets the very brightest values, while Highlights targets the upper-mid tones. Use both together for maximum recovery: Highlights slider for bulk recovery, Whites slider for the extreme peaks.
4. Tone curve adjustments
For fine-grained control, use the tone curve. Pull down the upper-right portion of the curve to compress the highlights. This gives you precise control over which tonal range gets compressed and by how much.
5. Highlight reconstruction algorithms
Advanced RAW processors (RawTherapee, dcraw) offer highlight reconstruction modes that use data from unclipped color channels to rebuild the clipped channels. For example, if red is clipped but green and blue are not, the algorithm estimates what the red channel should be based on the relationship between the channels. In dcraw these are the -H 2 (blend) and -H 3 to -H 9 (rebuild) modes. The converter on this site uses dcraw’s default, -H 0, which clips highlights to white, so recover highlights in a RAW editor first.
How Much Can You Recover?
| Scenario | Recovery Potential | Notes |
|---|---|---|
| 1 channel clipped | Excellent (1–2 stops) | Other channels provide enough data for reconstruction |
| 2 channels clipped | Moderate (0.5–1 stop) | Only one channel for reference; color accuracy may shift |
| All 3 channels clipped | None | No data was captured; area is truly pure white |
| Soft overexposure | Good (1–1.5 stops) | Gradual highlight roll-off recovers well |
| Hard specular reflection | Poor to none | Direct light sources overwhelm the sensor completely |
As a rule of thumb, expect to recover approximately 1 to 1.5 stops of highlight detail from a typical RAW file. Some cameras (especially those with newer sensors) offer up to 2 stops. But do not rely on recovery as a substitute for correct exposure.
Preventing Blown Highlights
The best highlight recovery strategy is prevention. These techniques minimize blown highlights at capture time:
- Expose to the right (ETTR): Expose as bright as possible without clipping highlights. This maximizes the signal-to-noise ratio in the shadows while keeping highlights intact. Any noise left in lifted shadows can be cleaned up with RAW noise reduction before export.
- Use highlight warning (“blinkies”): Enable the highlight clipping indicator on your camera’s LCD. Blown areas blink on playback, alerting you to reduce exposure.
- Check the histogram: If the histogram is pushed against the right edge, reduce exposure by 0.5–1 stop.
- Use graduated ND filters: For landscapes with bright sky and dark foreground, a graduated neutral density filter balances the exposure.
- Bracket exposures: Shoot multiple exposures (bracket) and merge them in post for HDR or exposure blending.
Remember: It is easier to recover shadows from RAW than to recover highlights. When in doubt, slightly underexpose to protect highlights — you can always brighten the shadows later with minimal quality loss.
When Blown Out Highlights Are Acceptable
Not every white area needs fixing. Photographers routinely accept clipping in:
- Light sources: the sun, lamps and bright windows look white to the eye too.
- Specular reflections: small glints on water, chrome or eyes.
- High-key and backlit shots, where a bright, airy look is the goal.
- Black-and-white photos, where pure white is part of the tonal range.
Clipping becomes a problem when it removes detail the viewer expects to see, such as texture in a wedding dress, clouds in a sky or skin on a face.