Browse free open source Image Processing Libraries and projects below. Use the toggles on the left to filter open source Image Processing Libraries by OS, license, language, programming language, and project status.

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  • 1
    EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.
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    Downloads: 10 This Week
    Last Update:
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  • 2
    Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
    Downloads: 5 This Week
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  • 3
    JPedal JBIG2 Image Decoder

    JPedal JBIG2 Image Decoder

    A JBIG2 decoder written for Java under a BSD license

    The JPedal JBIG2 Image Decoder is a 100% pure Java image decoder for the JBIG2 file format. The decoder takes the JBIG2 image processing technology developed for the JPedal PDF renderer in 2007 and makes it available as a generic library for more general usage. The JDeli Image Library https://www.idrsolutions.com/jdeli contains a much enhanced and faster version and also provides a complete ImageIO replacement (see https://www.idrsolutions.com/jdeli/imageio-replacement) for Tiff, JPEG, JPEG2000, Png as well as lots of other image formats including Dicom, WMF, PSD, SGI and WebP.
    Downloads: 2 This Week
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  • 4
    ArrayFire

    ArrayFire

    ArrayFire, a general purpose GPU library

    ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Library for embedded real-time Digital Signal Processing / Digital Image Processing algorithms, XDAIS compliant.
    Downloads: 0 This Week
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