cornerstoneWebImageLoader - Cornerstone Image Loader for Web Images (PNG, JPEG)

  •        83

A cornerstone Image Loader for web images (PNG, JPEG). View the simple image viewer built on cornerstone.



Related Projects

cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM

  •    Javascript

Cornerstone is an open source project with a goal to deliver a complete web based medical imaging platform. This repository contains the Cornerstone Core component which is a lightweight JavaScript library for displaying medical images in modern web browsers that support the HTML5 canvas element. Cornerstone Core is not meant to be a complete application itself, but instead a component that can be used as part of larger more complex applications. See the OHIF Viewer for an example of using the various Cornerstone libraries to build a simple study viewer. Cornerstone Core is agnostic to the actual container used to store image pixels as well as the transport mechanism used to get the image data. In fact, Cornerstone Core itself has no ability to read/parse or load images and instead depends on one or more ImageLoaders to function.

cornerstoneTools - A framework for tools built on top of Cornerstone.

  •    Javascript

cornerstoneTools is a library built on top of cornerstone that provides a set of common tools needed in medical imaging to work with images and stacks of images.

NiftyNet - An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

  •    Python

NiftyNet is a consortium of research organisations (BMEIS -- School of Biomedical Engineering and Imaging Sciences, King's College London; WEISS -- Wellcome EPSRC Centre for Interventional and Surgical Sciences, UCL; CMIC -- Centre for Medical Image Computing, UCL; HIG -- High-dimensional Imaging Group, UCL), where BMEIS acts as the consortium lead. NiftyNet is not intended for clinical use.

JPNG - JPNG is a bespoke image file format that combines the compression benefits of JPEG with the alpha channel support of a PNG file

  •    Objective-C

In iOS and Mac OS apps there is typically a choice of two image formats: PNG format allows transparency but produces large image files and is unsuited to compressing images like photographs; JPEG is great for creating small files and provides a range of compression qualities to suit the subject matter, but doesn't allow for transparency. JPNG is a new image format that combines the best of both of the other formats. JPNG is not really a format in its own right, it's a simple file wrapper that combines a JPEG and PNG image within the same file. JPEG is used to efficiently compress the RGB portion of the image and PNG is used to store the alpha channel.


  •    C++

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.

Scrimage - Scala image processing library

  •    Scala

Scrimage is a consistent, idiomatic, and immutable scala library for manipulating and processing of images. The aim of the this library is to provide a quick and easy way to do the kinds of image operations that are most common, such as scaling, rotating, converting between formats and applying filters. It is not intended to provide functionality that might be required by a more "serious" image processing application - such as face recognition or movement tracking.

tess4j - Java JNA wrapper for Tesseract OCR API

  •    Java

# Tess4J ## Description: A Java JNA wrapper for Tesseract OCR API. Tess4J is released and distributed under the Apache License, v2.0. ## Features: The library provides optical character recognition (OCR) support for: TIFF, JPEG, GIF, PNG, and BMP image formats Multi-page TIFF images PDF document format

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

  •    CSharp

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.

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

  •    Go

Small Go package for fast high-level image processing using libvips via C bindings, providing a simple, elegant and fluent programmatic API.bimg was designed to be a small and efficient library supporting a common set of image operations such as crop, resize, rotate, zoom or watermark. It can read JPEG, PNG, WEBP natively, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings.


  •    Java

Razor is a set of Java- and JOGL-based medical image tools which can be composed into a standalone application or integrated into other medical imaging applications. Via JOGL, Razor uses OpenGL to enhance and accelerate some medical imaging functions.

CTK - A set of common support code for medical imaging, surgical navigation, and related purposes.

  •    C++

The Common Toolkit is a community effort to provide support code for medical image analysis, surgical navigation, and related projects.

Sharp - High performance Node.js image processing

  •    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.


  •    C++

Screen Capture / Shot dynamic link library with composite imaging addbilities. Image Output formats bmp jpeg. png support soon. Written in C++. The gui supports JavaScript!

pytesseract - A Python wrapper for Google Tesseract

  •    Python

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff, and others, whereas tesseract-ocr by default only supports tiff and bmp. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.

Deep-Learning-for-Medical-Applications - Deep Learning Papers on Medical Image Analysis

  •    TeX

To the best of our knowledge, this is the first list of deep learning papers on medical applications. There are couple of lists for deep learning papers in general, or computer vision, for example Awesome Deep Learning Papers. In this list, I try to classify the papers based on their deep learning techniques and learning methodology. I believe this list could be a good starting point for DL researchers on Medical Applications.

CharLS, a JPEG-LS library

  •    C++

An optimized implementation of the JPEG-LS standard for lossless and near-lossless image compression. JPEG-LS is a low-complexity standard that matches JPEG 2000 compression ratios. In terms of speed, CharLS outperforms open source and commercial JPEG LS implementations.

ITK - Insight Segmentation and Registration Toolkit -- Mirror

  •    C++

The National Library of Medicine Insight Segmentation and Registration Toolkit (ITK), or Insight Toolkit, is an open-source, cross-platform C++ toolkit for segmentation and registration. 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 toolkit may be built from source using CMake.

fo-dicom - Fellow Oak DICOM for .NET, .NET Core, Universal Windows, Android, iOS, Mono and Unity

  •    CSharp

If fo-dicom is a vital component in your open-source or commercial application and/or you want to contribute to its continued success, please consider making a small monetary contribution. This library is licensed under the Microsoft Public License (MS-PL). See License.txt for more information.

grunt-contrib-imagemin - Minify PNG and JPEG images.

  •    Javascript

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.