Ultra-HDR cameras like the Arri Alexa 35 capture more dynamic range than traditional grading spaces can accommodate. When working in these limited spaces, several essential tools in DaVinci Resolve fail to operate at full float precision, resulting in reduced image fidelity and limited grading flexibility.
Tools that do not operate in full float precision:
3D LUTs
Color Warper
Printer Lights (12-bit integer)
Custom Curves & Hue vs Curves
Some Resolve FX & OFX Plugins
HDR Wheels in SDR Mode
Saturation & Luminance Mix in Primary Wheels
Newer color spaces designed to handle increased dynamic range often lower mid-grey values, making primary grading tools unreliable. Arri Log C4, for example, has a mid-grey value as low as 285, making exposure and contrast adjustments difficult.
Tools in Davinci Resolve that do not operate as desired:
Primary – Lift Gamma Gain
Exposure
Contrast / Pivot
HDR Tools
Film Emulation LUTs
Some OFX Plugins
When grading in a color space with a lower dynamic range than the camera captures, spatial effects such as noise reduction, sharpening, blur, and lens distortion fail to operate at their full potential, leading to suboptimal results.
Tools in Davinci Resolve that do not operate at full potential:
Noise Reduction
Glow
Sharpening
Blur
Lens Distortion
JPLog2 is the only color space that guarantees full detail preservation without compromise. Unlike conventional grading spaces, JPLog2 ensures that every nuance of the image is retained, preventing highlight roll-offs and shadow compression. It is the only color space that allows grading tools to behave as intended, providing precise exposure, contrast, and color adjustments without unintended shifts or artifacts.
Whether you are working on high-end feature films, television, or commercial projects, you can leverage the power of JPLog2 without any cost. The DCTL version provides seamless real-time processing within DaVinci Resolve, while the 3D LUT ensures compatibility with a wide range of software and hardware, enabling consistent color management across different platforms.
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