Tone Mapping

What Is Tone Mapping?

Tone mapping is the process of adjusting the brightness, contrast, and color values of an image or video so it can be displayed properly on a screen with a more limited dynamic range. It is most often discussed in relation to HDR (High Dynamic Range) content.

HDR images and videos can contain more detail in bright highlights and dark shadows than many standard displays can show. By compressing a broader dynamic range into a manageable one, tone mapping works to preserve detail, contrast, and the original look of the content.

For example, a sunset photo may include a very bright sky and a dark foreground. Without tone mapping, either the sky may appear blown out or the foreground may appear too dark. Tone mapping helps balance those values, so the image looks more natural and readable.

How Tone Mapping Works

Tone mapping works by translating high dynamic range values into a lower or more compatible range. It decides how highlights, midtones, shadows, contrast, and sometimes color saturation should be adjusted. The process typically follows these steps:

  1. Analyze the source video: The system reads each frame’s luminance, color information, and dynamic range to identify bright highlights and dark shadow areas.
  2. Identify the target display range: It determines whether the output is intended for an HDR-capable display or a standard dynamic range (SDR) screen with more limited brightness.
  3. Remap luminance values. Bright highlights are compressed into the target range while preserving visible detail. Shadow values are adjusted to maintain clarity without making the image appear washed out.
  4. Adjust color values. Color information is converted or refined to match the destination format and prevent oversaturation or loss of detail.
  5. Deliver the transformed video. The processed output is encoded and served in a format suited to the viewer’s device, supporting consistent playback across screens.

There are also different approaches to tone mapping:

A global tone mapping method applies adjustments across the whole image or frame. This is usually faster and more consistent, but it can sometimes make the result look flat. A local tone mapping method adjusts different regions separately, helping preserve more detail in shadows and highlights. However, if pushed too far, it can create halos, unnatural contrast, or an over-processed look.

Tone Mapping vs. HDR

Tone mapping and HDR are closely related, but they are not the same.

HDR refers to content with a wider range of brightness and color information than standard dynamic range content. In photography, HDR can be created by combining multiple exposures. In video, HDR may be captured and graded using formats that support greater brightness, contrast, and color depth.

Tone mapping is the process that makes that wider range usable on a specific display or output format. It helps HDR content look acceptable on SDR screens, lower-brightness displays, printed images, or platforms that cannot reproduce the full HDR signal.

Why Tone Mapping Matters

Not every screen can display the same range of brightness and color. A professional HDR mastering display, a modern smartphone, a laptop, and an older SDR monitor may all show the same content differently.

Without tone mapping, HDR content shown on a non-HDR display can look washed out, clipped, too dark, or visually inaccurate. Bright details may disappear, shadows may become crushed, and colors may lose their intended appearance.

For media delivery, this is especially important. The same video may be viewed across TVs, phones, browsers, social platforms, and embedded players. Tone mapping helps create a more consistent experience across devices with different display capabilities.

Tone Mapping for Images and Videos

For images, tone mapping is often used to create balanced photos from high-contrast scenes. Landscape, architecture, interior, product, and real estate images often benefit from it because these scenes may contain both bright and dark areas.

For video, tone mapping is essential in HDR-to-SDR workflows. A platform may want to preserve HDR quality for devices that support it while still delivering a good SDR version for everyone else. This helps protect the creative intent without requiring a separate manually graded file for every playback environment.

Tone mapping also supports better accessibility of visual detail. Viewers should be able to see important elements clearly, whether they are watching on a high-end HDR display or a standard mobile screen.

The Bottom Line

Tone mapping converts wide dynamic range visual information into a displayable range while preserving as much detail and intent as possible. It is used in photography, HDR editing, video post-production, and media delivery.

For modern image and video workflows, tone mapping is important because content is viewed on many different devices. A good tone mapping strategy helps HDR and high-contrast media look clear, balanced, and consistent without losing the visual qualities that made the original asset valuable.

QUICK TIPS
Tali Rosman
Cloudinary Logo

In my experience, here are tips that can help you better manage tone mapping in production image and video workflows:

  1. Validate against reference white, not just peak brightness
    A technically correct peak-nit conversion can still produce poor midtones. Check diffuse/reference white levels to keep skin, products, and other familiar objects perceptually stable.
  2. Treat graphics separately from photographed content
    Logos, subtitles, UI overlays, and motion graphics can become unexpectedly bright or dull when passed through the same tone-mapping curve as HDR footage. Composite them at a controlled stage or apply dedicated transforms.
  3. Watch for hue shifts near the gamut boundary
    Highly saturated HDR colors can change hue when luminance compression pushes them into a smaller SDR gamut. Gamut mapping in a perceptual color space can produce better results than simply clipping RGB channels.
  4. Use scene cuts to constrain adaptive algorithms
    Dynamic tone mapping that carries statistics between unrelated shots can make brightness visibly jump after an edit. Resetting or heavily weighting analysis at detected scene boundaries prevents one shot from influencing the next.
  5. Protect faces with content-aware weighting
    Average-frame luminance is often a poor guide when a small face matters more than a large bright background. Face or subject detection can give important regions greater influence over adaptive mapping decisions.
Last updated: Aug 7, 2026
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