Are 8 Bits Insufficient for HDR Test Patterns?

When Portrait Displays acquired Patterns, they announced: “Patterns™ by Portrait Displays is the first and only macOS test pattern generator to support High Dynamic Range (HDR) on the market. The application uses the latest Metal APIs to support both SDR and HDR color spaces, including (but not limited to) sRGB, BT.709, Adobe RGB (1998), DCI-P3,... Continue Reading →

HDR Test Video

We just compared the 16" MacBook Pro (2021) to the LG CX with this test video by Florian Friedrich and it was quite an eye-opener! The difference in color volume is similar to comparing Samsung's QLED to the LG C1 OLED in the header picture and the one below (Sony BVM-HX310 mastering monitor, center). Why... Continue Reading →

Gamut Rings

Although a chromaticity diagram is useful for 2D representations, the color gamut of a display actually needs to be evaluated using a 3D color space that includes the lightness axis. Gamut rings representing a 3D color gamut solid using a 2D diagram are a solution to this problem and have been adopted as an international... Continue Reading →

HDR Luminance Levels: Why The Critics Are All Wrong

Discussions surrounding the brightness levels of HDR often talk about brightness as if there were some fixed, immutable number beyond which the picture becomes unwatchable (for many, that number is 48 nits!), whereas studies conducted by Dolby and DCI both showed conclusively that viewers overwhelmingly prefer brighter picture levels than are currently available in home... Continue Reading →

Cinematographers on HDR

Match the quotes to the DP “[HDR is] a dream for any cinematographer, any creator of images... I think every cinematographer will have an interest in high dynamic range, because it’s the way that we want to capture images, so later we can do whatever we want in [digital color grading]. We need all the... Continue Reading →

No, It Doesn’t

Forum member, EOSHD https://youtu.be/wEf8FmPMJxM It appears that many in the online community obstinately refer to ETTR as overexposure, which it is not. Overexposure is pushing highlights too far, to the point of clipping, at which point they are unrecoverable. Exposing to the right maximizes dynamic range while minimizing noise in the shadows.

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