SDR and HDR Key Features and Specifications
  • Open Format: HDR10 is an open standard, which allows for broad adoption without the burden of licensing fees. This has made it the de facto HDR standard for many consumer devices, including televisions, monitors, and streaming platforms.
  • Static Metadata: HDR10 uses static metadata, meaning the brightness information is set once and remains constant throughout the entire video. This metadata provides information about the maximum and average brightness levels (MaxFALL and MaxCLL), which are then used to adjust the display’s settings.
  • 10-bit Color Depth: HDR10 supports a 10-bit color depth, which translates to over 1 billion colors (compared to 16.7 million in 8-bit SDR). This significantly reduces color banding and allows for smoother gradients between colors.
    • Brightness Levels: HDR10 content is commonly mastered to brightness levels ranging from 1000 to 4000 nits, though most consumer displays are typically capable of reaching around 1000 nits. This range provides a significant improvement over SDR’s typical 100-nit brightness, offering much more detail in both highlights and shadows.

    Advantages of HDR10

    • Wide Adoption: Due to its open format, HDR10 is widely supported across the industry. Most HDR-enabled displays and content, including Blu-rays and streaming services like Netflix and Amazon Prime Video, support HDR10.
    • Compatibility with Most HDR Displays: Nearly all HDR-capable displays are compatible with HDR10, making it a safe choice for content creators and consumers alike.
    • Limitations of HDR10

      • Static Metadata Limitations: The use of static metadata in HDR10 can lead to suboptimal image quality in scenes with varying brightness levels. For example, a scene with both very bright and very dark areas may not be displayed as effectively because the same settings are applied across the entire scene.
      • Potential Issues with Incorrect Mastering Data: If the content is not mastered correctly, HDR10 can suffer from issues like clipped highlights or crushed shadows, where details in the brightest or darkest parts of the image are lost.

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