Solutions for fast image processing
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Fastvideo builds GPU-accelerated solutions for demanding imaging tasks — demosaicing, resize, denoising, color management, RAW compression, high-speed recording, and multi-camera pipelines — all running on NVIDIA GPUs. Each solution is assembled from the Fastvideo SDK so the whole pipeline stays in GPU memory for real-time performance.
We can offer custom solutions for ultra fast compression applications in various fields:
- High speed imaging
- Fast resize and recompression for photo and web applications
- Mobile imaging
- Medical imaging
Fast compression and decompression solutions on GPU
What GPU image and video processing solutions does Fastvideo offer?
- Fast JPEG codec for lossy image compression and decompression
- Fast MJPEG video codec
- Real-time JPEG compression for high speed camera
- Fast Demosaic JPEG (combined solution for demosaicing and jpeg compression on GPU)
- Fast decompress-resize-compress solution for web applications
- JPEG compression for raw images on CUDA
- J2K encoding and decoding on GPU
- Custom solutions for fast compression and decompression
- Current projects in the field of ultra fast compression
Fast image processing solutions on GPU
- Fast image demosaicing (Bayer CFA) on CUDA
- High speed CUDA denoiser
- Image trigger for high speed imaging
- Image processing for high speed and high resolution color cameras
- Fast image rotate, flip/flop, crop and resize
- Histogram on CUDA
- Video Wall
- CUDA scaling and tiling
- Fast Gaussian blur on GPU
- Image and video processing benchmarks for Jetson K1, Jetson X1, Jetson X2
- Jetson Xavier - SDK and benchmarks
- 3D LUT Transform on GPU
- Color correction with ICC profiles on GPU
- Video tone mapping for a XIMEA 8.9 MPix camera
- Fast local tone mapping for ARRI LogC footage
- RAW/DNG real-time image processing on CUDA
- Defringe on CUDA
- CUDA Remap
- Custom solutions for fast image processing
- RAW Image Compression with lossy algorithms
Camera solutions on GPU
- High speed 10-GigE camera with GPU ISP software
- Real-time image processing on GPU for XIMEA xiQ (USB-3.0) and XIMEA xiB (PCIe) cameras
- Multi-camera systems with GPU image processing
- GPU image processing for high speed cameras
Medical imaging on GPU
- GPU Image processing for OmniVision OH0TA10, OH0FA10 and OH02B10 image sensors
- Software for image-enhanced endoscopy
- Low-latency ISP on CUDA
- Fast processing of DICOM images on CUDA
- Image processing software for retinal surgery (ophthalmology microscope)
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.