Virtualdub Mpeg2
Virtualdub Codec Pack

Fastvideo has designed high performance SDK for image and video processing on NVIDIA GPU. That SDK is a set of software components which correspond to standard image processing pipeline for camera applications. We cover all image processing stages starting from raw image acquisition from the camera to JPEG compression with storage to RAM or SSD. All image processing is done completely on GPU and this leads to realtime performance or even faster for the full pipeline. We can also offer high speed imaging SDK for non-camera applications on GPU: offline raw processing, web, digital cinema, video walls, video transcoding, FFmpeg codecs and filters, 3D, AR/VR, AI, etc.

VirtualDub dedicates to processing AVI files and can be extended with third-party video filters. Although it's not so fully-featured as other professional video editors, it certainly can accomplish more than a few tasks that you might think you need other separate applications for.

Motion JPEG Video Decoder High-quality M-JPEG video decoding DirectShow filter with ARGB32 (alpha channel) support. Download a full-featured 30-day evaluation version! Contact Support. AVObjects M-JPEG Video Decoder is a high-performance DirectShow decoder for Motion JPEG video with alpha channel support.
It has batch-processing capabilities for processing large numbers of files and can be extended with third-party video filters. VirtualDub is mainly geared toward processing AVI files, although it can read (not write) MPEG-1 and also handle sets of BMP images. VirtualDub helps you get video into your computer.
PIC MJPEG codec. Note that this page describes video capturing on old hardware. The Accusoft/Pegasus PIC MJPEG codec is still available and useful even for HD editing.The formerly free codec went commercial and became quite expensive, but currently they offer a version for personal use again, the 32-bit version for about $30 (I recommend this version even for 64-bit systems, the vast majority.

Values of Fastvideo SDK

High Performance
Low latency
Excellent image quality
Reduced TCO for final applications
Reliability
Compatibility with third-party SDKs on CPU and GPU
Integration with FFmpeg and UltraGrid
Ease of maintenance, updates and upgrades
Availability for full range of NVIDIA GPUs

Image & Video Processing SDK Features

Image ingestion from a camera, frame grabber, HDD/SSD/RAM or GPU memory (PGM, BMP, PPM, JPG, YCbCr, RAW, DNG, byte array, OpenGL texture or PBO, etc.)
Raw data linearization
Dark frame subtraction (FPN)
Flat-Field Correction (Shading Correction)
Dynamic Bad Pixel Correction in raw domain
Binning (for grayscale images)
White Balance
Exposure correction
RAW Histograms
Raw Bayer Curves (master and RGB)
Raw Denoising with wavelets
Demosaicing with Binning (B2, B4, B8), HQLI, L7, DFPD, MG algorithms
Denoising for 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 1D LUTs for tone mapping in RGB or HSV (Hue->Hue, Hue->Saturation, etc.)
3D LUT for RGB and HSV
RGB Histograms
RGB Parade (waveform monitor)
Crop
Rotate to 90/180/270 degrees and flip/flop
Resize (downscale or upscale)
Remap (rotation to an arbitrary angle, affine transform, perspective transform, projection, arbitrary mapping)
Defringe
Transforms to Rec.601 (SD), Rec.709 (HD), Rec.2020 (4K) for broadcasting, etc.
Gamma transform (composite or per-color component)
Sharpening with Unsharp Mask filter (USM)
Realtime output via OpenGL
JPEG codec (8/12 bits per channel)
Raw Bayer codec for lossy compression or decompression (8/12 bits per channel)
JPEG2000 encoder and decoder (8-16 bits per channel, tiles, batch, multithreading, multithreaded batch)
Trace
Multiplexor
Stream-per-thread support for better performance
NVIDIA Jetson NANO, TX2, TX2i, NX and AGX Xavier support
CUDA MPS support for Linux
NVML support: GPU utilization, temperature, fan speed, power management
FFmpeg filters and codecs on GPU for high performance video processing

Image Processing SDK Options

Unpacking module for various raw formats
GPU Direct option for Linux to get images on GPU from a camera over DMA
Image tiling
Pyramid images
Image split into separate planes
Auto White Balance
RGB to Gray transform
Discrete Cosine Transform
Discrete Wavelet Transforms: CDF 5/3 and 9/7, Haar, UHaar, UCDF
Time measurements for all SDK modules
Encoding and decoding for BMD RAW 3:1, 4:1 and 5:1 formats
Support for input data from SD/HD-SDI and 3G/6G/12G-SDI grabbers: Blackmagic, Bluefish, Deltacast, Imperx
H.264 codeс (NVENC and NVDEC)
H.265 codeс (NVENC and NVDEC)
RAW and DNG (CinemaDNG) image and video processing on GPU
MLV raw video processing on GPU
OME-TIFF, BigTIFF, GeoTIFF support (tiles, pyramids, encoding)
J2K codec on GPU for FFmpeg

We are developing and optimizing software for the latest NVIDIA GPUs as well and we are designing new image and video processing algorithms to get high image quality and realtime performance. Parallel computing is the key to achieve realtime performance for imaging applications.

Image Processing Benchmarks: 2K vs 4K

*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. Resizer algorithm is Lanczos (2x downscaling). Denoising with CDF97 wavelet. Here you can find other benchmarks for our SDK.

Compatibility

OS Windows-10, Linux Ubuntu/CentOS, Linux4Tegra (L4T)
CUDA-10.2, MSVS 2019, sample C++ applications with source code, video processing API, manual
NVIDIA GPUs (Kepler, Maxwell, Pascal, Volta, Turing) for mobile, laptop, desktop, server
Motion JPEG integration with FFmpeg (reader/writer), FFmpeg is under LGPLv2.1

SDK sample applications with source codes

CUDA JPEG Codec
Debayer
Debayer + JPEG
Raw Bayer Codec
Denoiser
Resizer
J2K Codec
SDI converter
JPEG Resize (Jpeg2Jpeg app): jpeg decoding, crop, resize, sharp, jpeg encoding
Camera application on C++ and CUDA: raw data acquisition and unpacking, dark frame subtraction, shading correction, white balance, exposure correction, debayer, luma and chroma denoising, color correction, tone mapping with LUT (curves and levels), rotate, crop, resize, remap, undistortion, sharp, OpenGL output, JPEG or JPEG2000 compression, writer to AVI (MJPEG) or MXF (JPEG2000)
AVI player (MJPEG) via GLFW
CUDA Streams sample application

Open source projects from Fastvideo on GitHub

PGM2DNG Converter to convert PGM images to DNG
GPU Camera Sample software for machine vision and industrial cameras with GPU image processing

Download our GPU-based demo applications

GPU Camera Sample binaries for Windows

Custom GPU Accelerated Image & Video Processing SDK

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

Integration with MRTech SDK

Fastvideo SDK is offering high performance image processing on GPU, but basically that software is working with frames, not with cameras. Nevertheless, much more could be done if we would be able to combine GPU-based image processing with realtime camera control and streaming. This is what we can do with MRTech SDK to cover more machine vision applications. For example, automatic exposure correction (AEC) could be done via camera exposure control, and it's much better in comparison with digital signal am

Third Party Motion Jpeg Codec Virtualdub