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imaginary - Fast, simple, stateless HTTP microservice for high-level image processing with first-class support for Docker & Heroku
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 & Heroku. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance.Supports multiple image operations exposed as a simple HTTP API, with additional optional features such as API token authorization, gzip compression, HTTP traffic throttle strategy and CORS support for web clients.
image image-processing resize-images libvips crop-image microservice docker watermark jpeg png webp gif go-libraryImageSharp - A cross-platform library for the processing of image files; written in C#
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.
image-processing drawing jpeg gif bmp png netcore exif graphics imaging-librarylibjpeg-turbo - Main libjpeg-turbo repository
libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals that of proprietary high-speed JPEG codecs.libjpeg-turbo implements both the traditional libjpeg API as well as the less powerful but more straightforward TurboJPEG API. libjpeg-turbo also features colorspace extensions that allow it to compress from/decompress to 32-bit and big-endian pixel buffers (RGBX, XBGR, etc.), as well as a full-featured Java interface.
jpeg imaging-library libjpegpageres - Capture website screenshots
Capture screenshots of websites in various resolutions. A good way to make sure your websites are responsive. It's speedy and generates 100 screenshots from 10 different websites in just over a minute. It can also be used to render SVG images.See pageres-cli for the command-line tool.
page website site web url resolution size screenshot screenshots screengrab screen snapshot shot responsive gulpfriendly phantom phantomjs image svg render html headless capture pic picture png jpg jpegpageres-cli - Capture website screenshots
Capture screenshots of websites in various resolutions. A good way to make sure your websites are responsive. It's speedy and generates 100 screenshots from 10 different websites in just over a minute. It can also be used to render SVG images.See pageres for the programmatic API and issues tracker.
cli-app cli page website site web url resolution size screenshot screenshots screengrab screen snapshot shot responsive gulpfriendly phantom phantomjs image svg render html headless capture pic picture png jpg jpeglwip - Light Weight Image Processor for NodeJS
This module provides comprehensive, fast, and simple image processing and manipulation capabilities.There are no external runtime dependencies, which means you don't have to install anything else on your system.
image buffer manipulate process resize scale rotate jpeg jpg png gif crop blur sharpen batch flip mirror border padding hue saturation lightness alpha transparency fade opacity contain coverjimp - An image processing library written entirely in JavaScript for Node, with zero external or native dependencies
An image processing library written entirely in JavaScript (i.e. zero external or native dependencies).
image image-processing image-manipulation png jpg jpeg bmp resize scale cropMozjpeg - Improved JPEG encoder
MozJPEG reduces file sizes of JPEG images while retaining quality and compatibility with the vast majority of the world's deployed decoders.MozJPEG is based on libjpeg-turbo. It's compatible with libjpeg API and ABI, and can be used as a drop-in replacement for libjpeg. MozJPEG makes tradeoffs that are intended to benefit Web use cases and focuses solely on improving encoding, so it's best used as part of a Web encoding workflow.
mozjpeg libjpeg jpeg-encoder image-optimization web-performance jpeg imaging-librarygulp-imagemin - Minify PNG, JPEG, GIF and SVG images
Issues with the output should be reported on the imagemin issue tracker.🦄 Support my open-source work by buying this awesome video course: Learn to build apps and APIs with Node.js by Wes Bos Try his free JavaScript 30 course for a taste of what to expect & check out his ES6, React, Sublime courses.
gulpplugin imagemin image img picture photo minify minifier compress png jpg jpeg gif svglepton - Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.
Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.This can be used to archive large photo collections, or to serve images live and save 22% bandwidth.
jpeg lossless-compression-algorithm decompression compression-algorithm compressionjpg-glitch - glitch images with jpg encoding
this is an experiment for the web browser. it corrupts jpg images so that they appear "glitched". this experiment is very much based on the smack my glitch up js script.
glitch-art glitch-canvas glitch-images glitch webapp pwa image-processing jpg image-manipulation image jpeglibvips - A fast image processing library with low memory needs.
libvips is a 2D 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, convolutions, 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. It supports a good range of image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick.
libvips python-bindings jpeg openslide imagemagick tiff gif webp graphicsmagick openexrgrunt-contrib-imagemin - Minify PNG and JPEG images.
Select optimization level between 0 and 7. The optimization level 0 enables a set of optimization operations that require minimal effort. There will be no changes to image attributes like bit depth or color type, and no recompression of existing IDAT datastreams. The optimization level 1 enables a single IDAT compression trial. The trial chosen is what OptiPNG thinks it’s probably the most effective. The optimization levels 2 and higher enable multiple IDAT compression trials; the higher the level, the more trials.
gruntplugin compress gif image img jpeg jpg minify png svgSharp - High performance Node.js image processing
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.
webp image-processing jpeg png nodejs tiff svg libvips exif icc image performance crop resize overlay gif dzi thumbnail embed thumbnail-service apiimgproxy - Fast and secure standalone server for resizing and converting remote images
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 is also indispensable when handling lots of image resizing, especially when images come from a remote source.
image resize-images crop-image microservice docker jpeg png libvipsessential-image-optimization - Essential Image Optimization - an eBook
Bring up a terminal and type node --version. Node should respond with a version at or above 0.10.x. If you require Node, go to nodejs.org and click on the big green Install button.
images image-processing image-optimization jpeg png gif compression image-compression image optimisation webp mozjpegimage-optimizer - Easily optimize images using PHP
The image at $pathToImage will be overwritten by an optimized version which should be smaller. The package will automatically detect which optimization binaries are installed on your system and use them. Here are some example conversions that have been done by this package.
image optimizer performance jpeg png giflilliput - Resize images and animated GIFs in Go
lilliput resizes images in Go. Lilliput relies on mature, high-performance C libraries to do most of the work of decompressing, resizing and compressing images. It aims to do as little memory allocation as possible and especially not to create garbage in Go. As a result, it is suitable for very high throughput image resizing services.
resize-images gif cgo images imageops image resized-images thumbnail image-resizer crop jpeg png webp
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