>Medical Image Processing SDK on CUDAMedical Image Processing SDK on CUDA

Fastvideo has designed high performance SDK for image processing on GPU. That SDK is a set of components which correspond to standard image processing pipeline for various medical imaging applications. We cover all image processing stages starting from camera raw image acquisition to JPEG/JPEG2000 compression with storage to RAM or HDD. All image processing is done completely on GPU and this leads to exceptionally high performance.


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Medical Image Processing SDK Features

  • Image ingestion from a camera, grabber or HDD/SSD/RAM or GPU memory (PGM, BMP, PPM, JPG, YCbCr, RAW, DNG, byte array, OpenGL texture or PBO, etc.)
  • Dark frame subtraction (FPN)
  • Flat-Field Correction (Shading Correction)
  • White Balance
  • Raw denoiser
  • High quality demosaicing
  • Adaptive noise removal (luma and chroma)
  • Color Correction with matrix profile
  • Color Transforms: RGB->YCbCr, YCbCr->RGB, RGB->HSV, HSV->RGB, etc.
  • Composite or per-color component 8/10/12/14/16-bit LUTs for tone mapping in RGB or HSV (Hue->Hue, Hue->Saturation, etc.)
  • 3D LUT for RGB and HSV
  • Histograms for raw and processed data
  • Crop
  • Rotation (90/180/270 degrees and arbitrary angle) and flip/flop
  • Resize (downscale and upscale)
  • Gamma transform (composite or per-color component)
  • Sharpening with Unsharp Mask filter (USM)
  • Realtime output via OpenGL
  • JPEG compression and decompression
  • JPEG2000 compression and decompression

Options for Medical Image and Video Processing SDK on GPU

  • Unpacking module for various raw formats
  • GPU Direct option for Linux to get images on GPU from a camera
  • Raw Bayer lossy compression and decompression
  • Image tiling
  • Pyramid images
  • Discrete Cosine Transform
  • Discrete Wavelet Transforms: CDF 5/3 and 9/7, Haar, UHaar, UCDF
  • Time measurements for SDK performance
  • Support for input data from HD-SDI grabbers: Bluefish, Deltacast, Imperx
  • Multiple camera solution
  • Stream-per-thread option
  • RAW and DNG image and video processing

We are developing and optimizing software for the latest NVIDIA GPUs as well as we are designing new image processing algorithms to get high image quality and excellent performance in medical imaging.


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*OS Windows-10 (64-bit), CUDA-10 (64-bit). Timing includes GPU computations only, single frame image processing at one GPU (no batch mode, no streaming). JPEG encoding with compression ratio ~10:1 (24-bit data, jpeg quality 90%) and subsampling 4:2:0. Debayer algorithm is DFPD. Resize algorithm is Lanczos (2x downscaling). Denoising with CDF97 wavelet. Here you can find other benchmarks for our SDK.


  • OS Windows-7/8/10 (64-bit), Linux Ubuntu/CentOS (64-bit), Linux4Tegra (L4T)
  • CUDA-10, MSVS 2017, sample C/C++ applications with source code
  • NVIDIA GPUs (Kepler, Maxwell, Pascal, Volta) for mobile, laptop, desktop, server
  • MJPEG integration with FFmpeg (reader/writer), FFmpeg is under LGPLv2.1

SDK sample applications with source codes

  • CUDA JPEG Codec
  • Debayer
  • Debayer + JPEG
  • Resizer
  • SDI converter
  • JPEG Resize (jpeg decoding, crop, resize, sharp, jpeg encoding)
  • Camera application: raw data acquisition and unpacking, dark frame subtraction, shading correction, white balance, debayer, luma and chroma denoising, color correction, tone mapping, LUT, rotate, crop, resize, sharp, OpenGL/GLFW output, JPEG or H.264 compression, writer to AVI (MJPEG)
  • AVI player (MJPEG) via GLFW
  • Raw Bayer Codec

Freeware GPU-based applications from download page

Custom GPU Accelerated Image Processing SDK

We can offer integration services to connect your medical software with our image and video processing SDK. To achieve high performance on GPU for your specific medical imaging applications, Fastvideo is also developing GPU custom image and video processing solutions according to agreed specification. If you can't find above your image processing pipeline, call us to discuss that possibility. You can also have a look at our projects in development.

Licensing for CUDA Image Processing SDK

We license GPU Image Processing SDK and its components to software developers, camera manufacturers and resellers, internet providers, software integrators, etc. That SDK is utilized in wide range of imaging applications. Demo version of SDK, documentation, licensing info and quotation are available upon request. We are also offering custom software design according to agreed specification. If you need to get significant speed up or to improve quality of your image processing application, don't hesitate to contact us.

Roadmap for CUDA Image Processing SDK from Fastvideo

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