Open Source Linux Image Processing Software

Browse free open source Image Processing software and projects for Linux below. Use the toggles on the left to filter open source Image Processing software 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: 21 This Week
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  • 2
    OpenReco

    OpenReco

    Open-source photogrammetry for 3D reconstruction.

    OpenReco is an open-source photogrammetry and reality-capture platform designed to turn photographs into accurate 3D models, dense point clouds, textured meshes, DEMs, and orthomosaics. Built for researchers, drone operators, surveyors, developers, hobbyists, and digital artists, OpenReco aims to provide a transparent and extensible alternative to proprietary photogrammetry software. The project focuses on ease of use, performance, and reproducible workflows while embracing the open-source ecosystem. OpenReco supports image alignment, camera calibration, sparse and dense reconstruction, mesh generation, texturing, and export to common formats. Whether you're reconstructing archaeological sites, creating digital twins, generating terrain models, or building assets for games and visualization, OpenReco provides a powerful foundation without licensing restrictions.
    Downloads: 1 This Week
    Last Update:
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  • 3
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
    Downloads: 0 This Week
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  • 4
    This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.
    Downloads: 0 This Week
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  • 5
    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: 0 This Week
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  • 6
    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: 0 This Week
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  • 7
    Library for embedded real-time Digital Signal Processing / Digital Image Processing algorithms, XDAIS compliant.
    Downloads: 0 This Week
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  • 8
    phpCollect aims to quickly and easily graph, record, and display statistical host data.
    Downloads: 0 This Week
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