Open Source Image Processing Software
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Image Processing Software
View 155 business solutionsBrowse free open source Image Processing software and projects 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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JPEGView - Image Viewer and Editor
Lean and fast image viewer with minimal GUI
JPEGView is a lean, fast and highly configurable viewer/editor for JPEG, BMP, PNG, WEBP, TGA, GIF and TIFF images with a minimal GUI. Basic on-the-fly image processing is provided - allowing adjusting typical parameters as sharpness, color balance, rotation, perspective, contrast and local under-/overexposure. -
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Octave Forge
A collection of packages providing extra functionality for GNU Octave
Octave Forge is a central location for collaborative development of packages for GNU Octave. The Octave Forge packages expand Octave's core functionality by providing field specific features via Octave's package system. See https://octave.sourceforge.io/packages.php for a list of all available packages. GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable. Refer to https://www.octave.org for more information. -
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GraphicsMagick
Swiss army knife of image processing
GraphicsMagick provides a set of commandline tools and programming APIs for manipulating, editing, and converting raster and vector images. It is derived from ImageMagick, with the objective of providing better stability and performance than ImageMagick while retaining the original MIT/X11 license. -
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GLM
OpenGL Mathematics (GLM)
OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. GLM provides classes and functions designed and implemented with the same naming conventions and functionality than GLSL so that anyone who knows GLSL, can use GLM as well in C++. This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, data packing, random numbers, noise, etc. This library works perfectly with OpenGL but it also ensures interoperability with other third party libraries and SDK. It is a good candidate for software rendering (raytracing / rasterisation), image processing, physics simulations and any development context that requires a simple and convenient mathematics library. GLM is written in C++98 but can take advantage of C++11 when supported by the compiler. -
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ZXing
Barcode scanning library for Java, Android
ZXing or “Zebra Crossing” is an open source multi-format 1D/2D barcode image processing library that’s been implemented in Java, and also comes with ports to other languages. It currently supports the following formats: UPC-A and UPC-E EAN-8 and EAN-13 Code 39 Code 93 Code 128 ITF Codabar RSS-14 (all variants) RSS Expanded (most variants) QR Code Data Matrix Aztec ('beta' quality) PDF 417 ('alpha' quality) MaxiCode ZXing is made up of several modules, including a core image decoding library, JavaSE-specific client code, and Android client Barcode Scanner. It is the basis of many other third-party open source projects. -
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Emgu CV
Emgu CV is a cross platform .Net wrapper for OpenCV
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. -
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AwesomeBump
Open Source graphic tool and alternative to Insane Bump
AwesomeBump is a free and open source graphic app written using Qt library. It was made as an alternative to known gimp plugin Insane Bump or the commercial tool Crazy Bump. It is designed to generate normal, height, specular or ambient occlusion, metallic, roughness and other textures from a single image. Most of the image processing is done on GPU so the program runs very fast and all the parameters can be changed in real time. -
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Pillow
The friendly Python Imaging Library fork
If you've ever wondered or worried about the future of Python's Imaging Library, it's time to stop. Pillow is here to answer your concerns, and offer you more. Pillow is the friendly fork of the Python Imaging Library or PIL, a library that adds image processing capabilities to your Python interpreter. Why turn to Pillow? Aside from offering extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities, Pillow is setuptools compatible. While PIL is not officially over yet, with Pillow you can be assured of continuous integration testing, publicized development activity, and regular releases to the Python Package Index. -
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SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. Both SciPy and NumPy run on all popular operating systems, are fast and easy to install, and are powerful yet easy to use. They’re currently depended upon by numerous leading scientists and engineers all over the world. Try them for yourself! -
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Waifu2x-Extension-GUI
Photo/Video/GIF enlargement using machine learning
Image & GIF & Video Super-Resolution using Deep Convolutional Neural Networks. Built-in image processing algorithm: Waifu2x / SRMD / RealSR / Anime4K / ACNet Built-in image processing engine: Waifu2x-caffe / Waifu2x-converter / Waifu2x-ncnn-vulkan / SRMD-ncnn-vulkan / RealSR-ncnn-vulkan / Anime4KCPP Github: https://github.com/AaronFeng753/Waifu2x-Extension-GUI -
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GLMixer
Graphic Live Mixer
GLMixer performs real time graphical blending of several movie clips and of computer generated graphics. Drop video files in the mixing workspace and place them in a circular area to change their opacity ; if you selects two videos, moving them together performs a fading transition. This principle generalizes to a large number of videos. Direct interaction with the video allows to be fast and reactive, and to move and deform them on screen. The output of your operations is shown in the output window, typically displayed in full-screen on an external monitor or a projector. But the output can also be saved as a video file. Control GLMixer through network using OpenSoundControl, and generate graphics with ShaderToy GLSL code. Download : https://sourceforge.net/projects/glmixer/files/ Please note GLMixer is discontinued and superseded by vimix https://brunoherbelin.github.io/vimix/ -
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C3D is a command-line tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling.
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and development, we split PCL into a series of modular libraries. PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing PCL on platforms with reduced computational or size constraints. -
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darktable
darktable is an open source photography workflow application
darktable is an open source photography workflow application and non-destructive raw developer. A virtual lighttable and darkroom for photographers. It manages your digital negatives in a database, lets you view them through a zoomable lighttable and enables you to develop raw images, enhance them and export them on local or remote storage. -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows. -
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ImageMagick
ImageMagick 7
ImageMagick® is a free, open-source software suite, used for editing and manipulating digital images. It can be used to create, edit, compose, or convert bitmap images, and supports a wide range of file formats, including JPEG, PNG, GIF, TIFF, and PDF. ImageMagick is widely used in industries such as web development, graphic design, and video editing, as well as in scientific research, medical imaging, and astronomy. Its versatile and customizable nature, along with its robust image processing capabilities, make it a popular choice for a wide range of image-related tasks. ImageMagick includes a command-line interface for executing complex image processing tasks, as well as APIs for integrating its features into software applications. It is written in C and can be used on a variety of operating systems, including Linux, Windows, and macOS. -
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XPaint is a simple paint program for X, suitable for producing simple graphics. It does offer some advanced features such as image processing functions and gradient fill. XPaint was originally written by David Koblas.
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Jimp
An image processing library written entirely in JavaScript for Node
An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't using. If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster. The static Jimp.read method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise. In some cases, you need to pass additional parameters with an image's URL. -
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libvips
A fast image processing library with low memory needs
libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good range of image formats, including JPEG, JPEG2000, JPEG-XL, TIFF, PNG, WebP, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick, letting it work with formats like DICOM. It comes with bindings for C, C++, and the command-line. Full bindings are available for Ruby, Python, PHP, C# / .NET, Go, and Lua. -
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disser
LaTeX classes and templates for typesetting dissertations in Russian
LaTeX classes, Makefiles and document templates for typesetting dissertations in Russian -
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Lynkeos
Lynkeos is an astronomical webcam image processing software for OS X.
Lynkeos is a Cocoa® application dedicated to the processing of astronomical digital images taken through a telescope. It is optimized for SSE vectorized instructions sets, multi-processor and multi-core machines. -
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Xlideit Image Viewer
A lightweight image viewer with basic image processing
This is a lightweight image viewer with basic image processing. A thumbnail bar is shown at the bottom of the window with all the images in the folder. The name of the current image and the toolbar are shown at the top of the window. Use the toolbar to access basic commands like: image slideshow, adjust zoom, rotate, delete, crop or resize the image, sort the list or access the program settings. Move the mouse near the left or right side of the window to show the arrows and select the next or previous image. Move the mouse over the buttons to see a short description or over the thumbnails to see more information. By default, the viewer starts in full screen mode but it can be switched to windowed mode by pressing F11. Also, you can press Enter to hide or show the toolbars, Space to start the slideshow or Escape to exit the program. To use this program as the default viewer for any image file, right click on the file and use the "Open with" option in the context menu. -
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Image Restoration and Inpainting: MinGW/OpenGL/Visual c++/Java image processing enhancing/restoring/detecting/recovering image parts(Old painting cracks...) FastRestorarion, 2D (Un)Splitted Linear Solver, nonlinear solver: conjugate gradient,QuasiNewton
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scantailor-advanced
ScanTailor Advanced is the version that merges STF and STE
ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes. -
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NOTE: the project has moved to https://scipy.org/scipylib/ --- go there to find latest versions. This sourceforge project contains only old historical versions of the software. SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
Guide to Open Source Image Processing Software
Open source image processing software is a type of program which enables users to view, create, edit, and manipulate digital images. This software is available under the General Public License (GPL). Some of the most well-known open source image processing programs include GIMP (GNU Image Manipulation Program), Inkscape (vector graphics editor), and ImageMagick (command line utility).
GIMP has been around since 1996 and is one of the most popular free and open source graphic design programs available today. It can be used for creating artworks such as drawings, comics, logos, web graphics and more. It also includes powerful tools such as layers, filters, gradients that allow users to make sophisticated image adjustments such as color correction and retouching. In addition to these features GIMP also supports various scripting languages including Perl and Python which allows users to automate tasks.
Inkscape is an open source vector graphics editing program that supports multiple file formats including SVG (Scalable Vector Graphics) XML format allowing you to use it with other applications or Web pages. It comes with an intuitive user interface featuring drawing tools such as curves, paths lines etc., text tools for adding annotations in different languages like English or Latin script fonts; shapes tool like rectangles circles ovals, etc., transform tools for resizing rotating shearing scaling reflecting flipping objects; filter effects including blur sharpen emboss mosaic etc.; along with selection/layers management capabilities for making precise edits on specific objects.
ImageMagick is a collection of command-line utilities that are designed to make manipulating images easier from within scripts or using a terminal based shell environment. Popular uses include thumbnail generation thumbnail mixing batch conversions from one type of file format into another generation of animated GIFs creation/editing using special functions such as histogram equalization sharpening contrast enhancement raw photo decoding noise reduction resizing flips rotations warping perspective adjustments etc. For advanced users there are over 200 options available when this software package installed so they can fine tune their creations just right according to their needs.
Features Provided by Open Source Image Processing Software
- Image Adjustments: Open source image processing software typically offers a range of adjustment tools for professionals and hobbyists to modify their images. This includes options such as brightness, contrast, saturation, hue, sharpening and blur effects.
- Layer Support: Many open-source programs provide users with layer support which allows them to add multiple photos or adjustments on top of each other in order to create more complex images.
- Selection Tools: These programs usually offer different selection tools that help with cropping or editing specific areas within an image. This is especially helpful if one needs to make changes to a certain part of the photo.
- Retouching Tools: Open source software can also provide several retouching tools such as the cloning tool (to copy parts of an image over another) or a healing brush (for removing imperfections from pictures).
- Filters & Effects: Most open-source programs offer many creative filters and effects such as vignettes, color splash, tilt shift and many more for enhancing photos visually and making them stand out from others.
- Color Correction & Matching: Some open-source software offer sophisticated color correction tools for adjusting colors accurately using user defined values or through automated color matching processes. They also include utilities like curves and levels for more precise calibrations.
What Are the Different Types of Open Source Image Processing Software?
- GIMP: GIMP, or GNU Image Manipulation Program, is a free and open source image editor. It supports layers, photo retouching, transformations, painting tools and more.
- Inkscape: Inkscape is a vector graphics editor that can be used to create and edit images for graphic design projects. It enables users to draw objects, text shapes, gradients and more.
- IrfanView: IrfanView is a lightweight image viewer and editor with support for batch processing for efficient editing of multiple files at once. It provides basic features such as cropping and resizing images.
- ImageMagick: ImageMagick is an open-source software suite that provides powerful image manipulation capabilities including the ability to resize, rotate and convert images between different formats such as JPEGs, PNGs and GIFs.
- DigiKam: DigiKam is a digital asset management program designed specifically for organizing collections of photos and videos on your computer or mobile device. It includes basic editing capability as well as facial recognition technology for easier searching.
- OpenCV: OpenCV (Open Computer Vision) is an open source library primarily used for real time computer vision applications such as object detection and tracking in 3D space or augmented reality applications on mobile devices.
Benefits of Using Open Source Image Processing Software
- Cost effectiveness: Open source image processing software is free, meaning organizations and individuals are not required to pay for licensing fees. This makes the software an affordable solution for those who need it, particularly businesses that may have limited funds to invest in image processing technology.
- Customization: By using open source image processing software, users have access to the code behind the application which means they can tweak it as needed according to their specific needs and requirements. They can also add new features or delete existing ones in order to get better results while still retaining the core functionality of the application.
- Easy of use: Open source image processing software typically has an intuitive user interface which allows even novice users without any technical background to quickly understand how the application works. It usually comes with a detailed guide or tutorials so users can easily learn all its features and capabilities in no time at all.
- Flexibility: With open source image processing software, organizations don’t have to be locked into a single vendor since they are free from contractual agreements or obligations due to its open-source nature. This provides them with greater flexibility as they can choose different solutions that fit their needs more effectively instead of being stuck with one particular platform for years at a time which could potentially become outdated soon after its purchase.
- Security: Open source image processing applications tend be more secure than proprietary ones since anyone can inspect their code and make sure it does not contain any malicious components or vulnerabilities that could be exploited by hackers or other malicious actors trying to gain access to confidential information stored within them. Additionally, these applications often receive quicker updates when compared with proprietary alternatives due to their open-source platforms allowing developers around the globe working together on improving upon them regularly.
What Types of Users Use Open Source Image Processing Software?
- Amateur Photographers: Individuals who are interested in photography as a hobby and use open source image processing software to enhance their photographs.
- Professional Photographers: Professionals who rely on open source image processing software to create, edit, and manipulate photos for commercial purposes.
- Graphic Designers: Professionals responsible for the visual look of websites, magazines, logos, and other publications that rely heavily on images. They use open source image processing software to design high-quality graphics.
- Scientists: Researchers who need access to powerful image processing capabilities which can help them analyze data from a variety of sources such as microscopes or satellites.
- Animators: Creators of animations that need specialized tools for creating perfect transitions between frames or adding special effects. Open source image processing tools provide the flexibility necessary for this purpose.
- Illustrators: Artists who often depend heavily on raster-based images and vector graphics generated by open source image processing software for their illustrations.
- Video Editors: Media professionals involved in film editing who employ image manipulation techniques to produce stable video frames with consistent color balance across various shots and scenes in the movie they are working on.
- Web Developers: Website creators use open source tools to generate optimized images suitable for mobile devices or reduce file sizes while preserving the quality of the final output when building complex websites with visuals assets such as photographs .
How Much Does Open Source Image Processing Software Cost?
Open source image processing software is typically free of charge. Many developers create open source software so that they can share it with others, and users can benefit from their efforts without paying a dime. This can be immensely helpful for budget-conscious individuals and organizations as it allows for access to powerful technology without having to pay an expensive license fee or subscription cost. Open source image processing software also provides the flexibility of modifications allowing users to tailor the software according to their specific needs.
The best part about using open source image processing software is that it comes with community support, which means you’ll have access to forums and other resources where experienced developers are available to offer help whenever needed. This makes it easier for beginners to get up and running quickly, and more experienced programmers will have a chance to learn from each other’s experiences and advice. Maintenance costs are also reduced since open source projects tend not require expensive custom development services like commercial, proprietary counterparts do.
Overall, open source image processing software offers immense value due its affordability, flexibility, and community support – all at no cost.
What Software Does Open Source Image Processing Software Integrate With?
There are a variety of types of software that can integrate with open source image processing software. These include web development tools such as HTML, CSS, JavaScript and PHP; document management systems like OpenOffice; graphic design and photo editing applications like GIMP or Photoshop; 3D modeling and animation programs like Autocad and Blender; data analytics packages such as R and MATLAB; plus machine learning frameworks like Tensorflow. Each of these tools provide more versatility in how images can be manipulated, allowing for greater accuracy, automation and speed in the development process. Furthermore, some image recognition platforms have even been created to utilize artificial intelligence capabilities to further enhance performance and accuracy of open source image processing tasks.
Recent Trends Related to Open Source Image Processing Software
- Increased Availability: Open source image processing software is becoming more widely available, with more users downloading and using the software to edit photos and other images. This is due to the increasing number of companies that are releasing open-source software and allowing users to access it for free or at a low cost.
- Increased Features: Open source image processing software is continuously being updated with new features and capabilities. As the software becomes more popular, developers are increasingly adding features such as advanced editing tools, color correction, layers, and other features that make editing images easier and more efficient.
- Increased User Interface: Open source image processing software has improved user interfaces that allow users to easily navigate the program and quickly learn how to use the various functions. This makes it easier for new users to jump into the program and start editing images.
- Increased Cross-Platform Compatibility: Open source image processing programs are now compatible with multiple platforms, such as Windows, Mac, Linux, iOS and Android. This allows users to access the same software from different devices, making it easier for users to edit images on any device they own.
- Increased Automation Features: Many open source image processing programs now have powerful automation options that allow users to quickly apply effects or adjustments with a single click of a button. This makes it easier for users to quickly adjust an image without spending hours manually adjusting individual settings.
How Users Can Get Started With Open Source Image Processing Software
Getting started with open source image processing software is actually quite easy. First, you’ll need to decide which program you want to use and download it. There are several popular programs available, such as GIMP, Inkscape and Blender. Once the program has been downloaded, all you’ll have to do is launch the program and begin exploring its features.
To get a better understanding of how to use the software, it might be helpful to take an online course or read through tutorials and troubleshooting guides for the specific software. The resources can usually be found on each application's website . Additionally, most applications offer video tutorials that show users how to perform certain tasks step-by-step. This can be a great way for novice users who want an easier way of learning how to operate the software.
Once you’ve got a basic understanding of how everything works, you should start creating your own images with the tools available in your chosen application. Most open-source image processing programs come with a wide range of adjustable parameters so that experienced users can have more control over their creations than ever before possible. Try experimenting with different textures and combinations until you find something that looks good—it could take time but it will be worth it in the end.
Another important thing to keep in mind when using open source image processing software is making sure that your work remains legal by following appropriate copyright laws surrounding royalty free images. Many sites provide free images released under Creative Commons license which allow anyone to modify them freely as long as they give credit where credit is due. With this knowledge in hand and practice of using the software itself, soon enough any budding artist should become adept at creating beautiful digital artwork right from their very own computer.