3D LUT on NVIDIA GPU
Updated:
3D LUT Transform is massively used for color grading and toning applications. To solve the task of 3D LUT grading, we have developed corresponding kernels that run on existing GPU hardware from NVIDIA. We have implemented various formats for 3D LUTs and achieved very high performance for color grading.
3DLUT Transform Features
What is a 3D LUT and how is it applied on the GPU?
- Input data up to 16-bit with arbitrary width and height
- 2.5D and 3D LUT formats: cube
- Color representation: RGB, HSV
- Standard color cube resolution 65×65×65 (up to 256)
- Compatibility with Fastvideo Image & Video Processing SDK
Hardware and software
- CPU Intel Core i7-5930K (Haswell-E, 6 cores, 3.5–3.7 GHz)
- GPU NVIDIA GeForce GTX 1080 (Pascal, 20 SMM, 2560 cores, 1.6–1.7 GHz)
- OS Windows 10 (x64)
- CUDA Toolkit 10.1
Performance of 2.5D and 3D LUT Transforms on GPU
Test images: 16-bit RGB, 2432×1366 (2.5K) and 4032×2192 (4K), fast trilinear interpolation
Test info: all data (input and output) in GPU memory, timing measurements include GPU computations only, timings for 2.5K/4K images
- 2.5D LUT (HSV, 90×30 points) – 0.26 ms / 0.64 ms
- 2.5D LUT (HSV, 90×117 points) – 0.26 ms / 0.65 ms
- 3D LUT (HSV, 36×8×8 points) – 0.29 ms / 0.65 ms
- 3D LUT (HSV, 36×29×16 points) – 0.31 ms / 0.68 ms
- 3D LUT (HSV, 36×57×61 points) – 0.44 ms / 0.77 ms
- 3D LUT (RGB, 17×17×17) – 0.22 ms / 0.55 ms
- 3D LUT (RGB, 33×33×33) – 0.22 ms / 0.56 ms
- 3D LUT (RGB, 65×65×65) – 0.30 ms / 0.60 ms
Detailed benchmark data. Measured results are published on our benchmark pages: Tone-mapping benchmarks, all benchmarks.
We have designed that software as a part of our GPU image & video processing SDK. Now our customers have opportunity to use fast 3D LUT transforms on NVIDIA GPU in their real-time color grading applications.
About the author
Fyodor Serzhenko, PhD, is the founder and CEO of Fastvideo. He earned his PhD at the Moscow Institute of Physics and Technology (MIPT) in 1993. Since 2009 he has led the development of Fastvideo’s GPU-accelerated image codecs and ISP modules, including the Fastvideo SDK. Connect on LinkedIn.
Why you can trust these results
Fastvideo has built GPU-accelerated image processing software since 2009. Our codecs comply with the standards they implement — JPEG (ITU-T T.81 / ISO IEC 10918) and JPEG2000 (ITU-T T.800 / ISO IEC 15444) — and our tools are open source on GitHub. Every performance figure we publish is reproducible: see our benchmark methodology, download the Fastvideo SDK benchmark report (PDF), and measure it on your own GPU.