RUSSIAN VERSION IS HERE!

Lossless Video Codecs Comparison ‘2007


MSU Graphics & Media Lab (Video Group)

Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/codecs/lossless-codecs-comparison-2007.html

Project head: Dr. Dmitriy Vatolin
Testing, analysis: Iwan Seleznev
Verification: Dr. Maxim Smirnov

Tested codecs

  • Alpary
  • ArithYuv
  • AVIzlib
  • CamStudio GZIP
  • CorePNG
  • FastCodec
  • FFV1
  • Huffyuv
  • Lagarith
  • LOCO
  • LZO
  • MSU Lab
  • PICVideo
  • Snow
  • x264
  • YULS

    • Comparison Content

    The main goal of the performed comparison is getting answers on the following questions regarding lossless video codecs:
  • What codec or codecs are best for video capture and video editing applications?
  • What codec or codecs achieve the best compression ratio?
  • What advantages multithreading gives to modern codecs supporting it?

    • Only absolutely lossless codecs were examined in this comparison. Only progressive test video sequences were used.

    Main conclusions:

  • In Video Capture and Video Editing Area the overall clear winner is Lagarith.
  • In Maximum Compression area the overall winner is YULS.
  • The most balanced and flexible codec is FFV1: relatively good speed and high compression for various presets.

    • The comparison paper is 130 pages long and contains a lot of graphs to facilitate analysis like this one:

    Download

  • Lossless Codecs Comparison ‘2007 - PDF (1.71 Mb)
  • Lossless Codecs Comparison ‘2007 - ZIP (1.5 Mb)

    • Contact Information

    See all MSU Video Codecs Comparisons

    MSU video codecs comparisons resources:

    Other Materials

    Video resources:

    3D and stereo video
    Projects on 3D and stereo video processing and analysis
    MSU Video Quality Measurement tools
    Programs with different objective and subjective video quality metrics implementation     		Codecs comparisons
    Objective and subjective quality evaluation
    tests for video and image codecs
    Ext. link: x264 parameters efficiency comparison
    Public MSU video filters
    Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). These optimized versions can be licensed to companies. Please contact us for details via video(at)graphics.cs.msu_ru.     		Filters for companies
    We are working with Intel, Samsung, RealNetworks and other companies on adapting our filters other video processing algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc. Some of such projects are non-exclusive. Also we have internal researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision.
    Video codecs projects
    Different research and development
    projects on video codecs     		Other
    Other information
    Last updated: 12-May-2022

    Server size: 8069 files, 1215Mb (Server statistics)

    Project updated by
    Server Team and MSU Video Group

    Project sponsored by YUVsoft Corp.

    Project supported by MSU Graphics & Media Lab