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

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#

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

libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. 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 formats, 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, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick, letting it load formats like DICOM.

libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. 

libvips - A fast image processing library with low memory needs

imgproxy is a fast and secure standalone server for resizing and converting remote images. The main principles of imgproxy are simplicity, speed, and security. imgproxy can be used to provide a fast and secure way to replace all the image resizing code of your web application (like calling ImageMagick or GraphicsMagick, or using libraries), while also being able to resize everything on the fly, fast and easy. 

imgproxy - Fast and secure standalone server for resizing and converting remote images

Small Go package for fast high-level image processing using libvips via C bindings, providing a simple programmatic API. bimg is able to output images as JPEG, PNG and WEBP formats, including transparent conversion across them.

bimg - Small Go package for fast high-level image processing powered by libvips C library

Image resizing, cropping and compression on the fly with the impressive MozJPEG compression algorithm. One Docker container to build your own Cloudinary-like service.You pass the image URL and a set of keys with options, like size or compression. Flyimg will fetch the image, convert it, store it, cache it and serve it. The next time the request comes, it will serve the cached version.

Flyimg - Microservice to resize and crop images on the fly

This project adds read/write support for the file types wbmp, bmp, pcx. pnm. raw, tiff, gif to Java's ImageIO. The classes of this projects are not generally used directly, but through the SPI plugin mechanism of ImageIO.

JAI - JAI ImageIO Core (without javax.media.jai dependencies)

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