GraphicsMagick is the swiss army knife of image processing. It provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF. GraphicsMagick supports huge images and has been tested with gigapixel-size images. GraphicsMagick can create new images on the fly, making it suitable for building dynamic Web applications. GraphicsMagick may be used to resize, rotate, sharpen, color reduce, or add special effects to an image and save the result in the same or differing image format. Image processing operations are available from the command line, as well as through C, C++, Perl, PHP, Tcl, Ruby, or Windows COM programming interfaces. With some modification, language extensions for ImageMagick may be used. GraphicsMagick is originally derived from ImageMagick 5.5.2 but has been completely independent of the ImageMagick project since then. Since the fork from ImageMagick in 2002, many improvements have been made by many authors using an open development model but without breaking the API or utilities operation. GraphicsMagick is used to process billions of files at the world's largest photo sites (e.g. Flickr).

GraphicsMagick is the swiss army knife of image processing. It provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.

GraphicsMagick

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.
 
After merging with the AForge.NET project, the framework now offers a unified API for learning/training machine learning models that is both easy to use and extensible. 
 
It supports Vector Machines , Logistic Regression , Decision Trees , Neural Networks , Deep Learning (Deep Neural Networks), Levenberg-Marquardt with Bayesian Regularization , Restricted Boltzmann Machines , Sequence classification , Hidden Markov Classifiers and Hidden Conditional Random Fields, Multiple linear regression , Multivariate linear regression , polynomial regression , logarithmic regression.
 
 Clustering algorithms like K-Means , K-Modes , Mean-Shift , Gaussian Mixture Models , Binary Split, Image processing, Load, parse, save, filter and transform audio signals, Real-time face detection and tracking , as well as general methods for detecting , tracking and transforming objects in image streams and lot more.

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

QuaggaJS is a barcode-scanner entirely written in JavaScript supporting real- time localization and decoding of various types of barcodes such as EAN, CODE 128, CODE 39, EAN 8, UPC-A, UPC-C, I2of5, 2of5, CODE 93 and CODABAR. The library is also capable of using getUserMedia to get direct access to the user’s camera stream. Although the code relies on heavy image-processing even recent smartphones are capable of locating and decoding barcodes in real-time.

quaggaJS - An advanced barcode-scanner written in JavaScript

The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings.

Sharp - High performance Node.js image processing

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.
 
imaginary can read images from HTTP POST payloads, server local path or remote HTTP servers, supporting JPEG, PNG, WEBP, HEIF, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings. It is is able to output images as JPEG, PNG and WEBP formats, including transparent conversion across them.

Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.

imaginary - Fast, simple, stateless HTTP microservice for high-level image processing with first-class support for Docker & Heroku

ImageMagick is a software suite to create, edit, and compose bitmap images. It can read, convert and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PhotoCD, PNG, Postscript, SVG, and TIFF. Use ImageMagick to translate, flip, mirror, rotate, scale, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and Bézier curves. The functionality of ImageMagick is typically utilized from the command line or you can use the features from programs written in your favorite programming language. Choose from these interfaces: G2F (Ada), MagickCore (C), MagickWand (C), ChMagick (Ch), ImageMagickObject (COM+), Magick++ (C++), JMagick (Java), L-Magick (Lisp), NMagick (Neko/haXe), MagickNet (.NET), PascalMagick (Pascal), PerlMagick (Perl), MagickWand for PHP (PHP), IMagick (PHP), PythonMagick (Python), RMagick (Ruby), or TclMagick (Tcl/TK). With a language interface, use ImageMagick to modify or create images dynamically and automagically. 
 Its features include: 
 <ul>
 <li>Format conversion: convert an image from one format to another (e.g. PNG to JPEG).</li>
 <li>Transform: resize, rotate, crop, flip or trim an image.</li>
 <li>Transparency: render portions of an image invisible.</li>
 <li>Draw: add shapes or text to an image.</li>
 <li>Decorate: add a border or frame to an image.</li>
 <li>Special effects: blur, sharpen, threshold, or tint an image.</li>
 <li>Animation: create a GIF animation sequence from a group of images.</li>
 <li>Text &amp; comments: insert descriptive or artistic text in an image.</li>
 <li>Image identification: describe the format and properties of an image.</li>
 <li>Composite: overlap one image over another.</li>
 <li>Montage: juxtapose image thumbnails on an image canvas.</li>
 <li>Motion picture support: read and write the common image formats used in digital film work.</li>
 <li>Image calculator: apply a mathematical expression to an image or image channels.</li>
 <li>Discrete Fourier transform: implements the forward and inverse DFT.</li>
 <li>High dynamic-range images: accurately represent the wide range of intensity levels found in real scenes ranging from the brightest direct sunlight to the deepest darkest shadows.</li>
 <li>Encipher or decipher an image: convert ordinary images into unintelligible gibberish and back again.</li>
 <li>Virtual pixel support: convenient access to pixels outside the image region.</li>
 <li>Large image support: read, process, or write mega-, giga-, or tera-pixel image sizes.</li>
 <li>Threads of execution support: ImageMagick is thread safe and most internal algorithms are OpenMP-enabled to take advantage of speed-ups offered by the dual and quad-core processor technologies.</li>
 <li>Heterogeneous distributed processing: certain algorithms are OpenCL-enabled to take advantage of speed-ups offered by executing in concert across heterogeneous platforms consisting of CPUs, GPUs, and other processors.</li>
</ul>

ImageMagick is a software suite to create, edit, and compose bitmap images. It can read, convert and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PhotoCD, PNG, Postscript, SVG, and TIFF. Use ImageMagick to translate, flip, mirror, rotate, scale, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and Bézier curves.

ImageMagick

The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization. VTK supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk.

The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization. VTK supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation.

Visualization Toolkit

ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both. 
 
 The goals for ITK include: 
 <UL>
	<LI>Supporting the Visible Human Project.</LI>
	<LI>Establishing a foundation for future research.</LI>
	<LI>Creating a repository of fundamental algorithms.</LI>
	<LI>Developing a platform for advanced product development.</LI>
	<LI>Support commercial application of the technology.</LI>
	<LI>Create conventions for future work.</LI>
	<LI>Grow a self-sustaining community of software users and developers.</LI>
 </UL>

ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis.  Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.

Insight Segmentation and Registration Toolkit

Scan Tailor is an interactive post-processing tool for scanned pages. It performs operations such as page splitting, deskewing, adding/removing borders, and others. You give it raw scans, and you get pages ready to be printed or assembled into a PDF or DJVU file.

Scan Tailor - Post-processing tool for Scanned Pages

digiKam is an advanced digital photo management application for KDE, which makes importing and organizing digital photos a snap. The photos can be organized in albums which can be sorted chronologically, by directory layout or by custom collections. It provides support to add tag, comment to your images. 
 
The digiKam Image Editor has its own plugin subsystem with some common tools e.g. red eye correction or Gamma correction. Additional plugins are provided with the main application to process advanced corrections on image like color management, noise reduction, or special effects. digiKam Image Editor supports all camera RAW file formats, 16 bits color depth, Exif/Makernote/IPTC/GPS/XMP metadata, Color management, tagging/rating/comments pictures, etc.

digiKam is an advanced digital photo management application for KDE, which makes importing and organizing digital photos a snap. The photos can be organized in albums which can be sorted chronologically, by directory layout or by custom collections. It provides support to add tag, comment to your images. 

digiKam - Advanced Digital Photo Management

ImageSharp is a new, fully featured, fully managed, cross-platform, 2D graphics API. Without the use of System.Drawing we have been able to develop something much more flexible, easier to code against, and much, much less prone to memory leaks. Gone are system-wide process-locks; ImageSharp images are thread-safe and fully supported in web environments. Built against .Net Standard 1.1 ImageSharp can be used in device, cloud, and embedded/IoT scenarios.

ImageSharp - A cross-platform library for the processing of image files; written in C#

JavaCV uses wrappers from the JavaCPP Presets of commonly used libraries by researchers in the field of computer vision (OpenCV, FFmpeg, libdc1394, PGR FlyCapture, OpenKinect, librealsense, CL PS3 Eye Driver, videoInput, ARToolKitPlus, and flandmark), and provides utility classes to make their functionality easier to use on the Java platform, including Android.

javacv - Java interface to OpenCV, FFmpeg, and more

 Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. There are tens of thousands of students, artists, designers, researchers, and hobbyists who use Processing for learning and prototyping. 

Processing - Flexible software sketchbook and a language for learning how to code within the context of the visual arts. 

Geographic Resources Analysis Support System, commonly referred to as GRASS GIS, is a Geographic Information System (GIS) used for data management, image processing, graphics production, spatial modelling, and visualization of many types of data. GRASS supports raster and vector data in two and three dimensions. The vector data model is topological, meaning that areas are defined by boundaries and centroids; boundaries cannot overlap within a single layer.
 
GRASS GIS contains over 350 modules to render maps and images on monitor and paper; manipulate raster, and vector data including vector networks; process multispectral image data; and create, manage, and store spatial data. GRASS GIS offers both an intuitive graphical user interface as well as command line syntax for ease of operations. GRASS GIS can interface with printers, plotters, digitizers, and databases to develop new data as well as manage existing data.

Geographic Resources Analysis Support System, commonly referred to as GRASS GIS, is a Geographic Information System (GIS) used for data management, image processing, graphics production, spatial modelling, and visualization of many types of data. GRASS supports raster and vector data in two and three dimensions. The vector data model is topological, meaning that areas are defined by boundaries and centroids; boundaries cannot overlap within a single layer.

GRASS GIS - Geographic Resources Analysis Support System

An image processing library for Node written entirely in JavaScript, with zero native dependencies. It supports image manipulation methods like Blit an image, Blur an image, Various color manipulation methods, Resize, Scale and Rotate the image, Apply a dither effect to an image, Mask one image with another, Print text onto an image (watermark) and lot more.
 
Image Manipulation Methods:
<ul>
<li>blit - Blit an image onto another.</li><li>blur - Quickly blur an image.</li><li>color - Various color manipulation methods.</li><li>contain - Contain an image within a height and width.</li><li>cover - Scale the image so the given width and height keeping the aspect ratio.</li><li>displace - Displaces the image based on a displacement map</li><li>dither - Apply a dither effect to an image.</li><li>flip - Flip an image along it's x or y axis.</li><li>gaussian - Hardcore blur.</li><li>invert - Invert an images colors</li><li>mask - Mask one image with another.</li><li>normalize - Normalize the colors in an image</li><li>print - Print text onto an image</li><li>resize - Resize an image.</li><li>rotate - Rotate an image.</li><li>scale - Uniformly scales the image by a factor.</li></ul>

An image processing library for Node written entirely in JavaScript, with zero native dependencies. It supports image manipulation methods like  Blit an image, Blur an image, Various color manipulation methods, Resize, Scale and Rotate the image, Apply a dither effect to an image, Mask one image with another, Print text onto an image (watermark) and lot more.

Jimp - An image processing library written entirely in JavaScript for Node

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