Open Source Image Processing Software - Page 11

Java classes and packages for digital image processing under ImageJ using the Colt Java API, and an enhanced Plugins Control Panel for ImageJ

This project aims at implementing a variety of the image processing algorithms by means of GIL.

ImageRevise is a streamlined Tkinter-based application that makes image resizing and optimization effortless. With its intuitive interface, you can easily resize images while maintaining the aspect ratio, add custom watermarks with customizable positions, and optimize images for web use by adjusting quality levels. The application also lets you view and remove EXIF metadata, ensuring privacy and reducing file size. Features like multi-threaded image processing keep the app responsive during operations and enhance the overall user experience. With advanced error handling, the application is very reliable, and dynamic labels now provide real-time updates during image processing, with informative MessageBox popups when tasks are completed. Additionally, tooltips are refined to offer detailed guidance, making the app more user-friendly.

Imagine is a OOP library for image manipulation built in PHP 5.3 using the latest best practices and thoughtful design that should allow for decoupled and unit-testable code. ImagineInterface (Imagine\Image\ImagineInterface) and its implementations is the main entry point into Imagine. You may think of it as a factory for Imagine\Image\ImageInterface as it is responsible for creating and opening instances of it and also for instantiating Imagine\Image\FontInterface object. The main piece of image processing functionality is concentrated in the ImageInterface implementations (one per driver - e.g. Imagick\Image). The main idea of Imagine is to avoid driver specific methods spill outside of this class and couple of other internal interfaces (Draw\DrawerInterface), so that the filters and any other image manipulations can operate on ImageInterface through its public API.

Imaging Instruments is a high-performance image processing application crafted for efficiency and designed to deliver powerful and reliable image manipulation capabilities. Developed using the Model-View-Controller (MVC) architecture, Imaging Instruments harnesses the full potential of modern technologies, combining C++, Qt6, CUDA-C, and OpenCV to deliver a powerful and seamless experience for both professionals and enthusiasts. With multi-threading support via OpenMP and GPU acceleration through CUDA-C, Imaging Instruments provides lightning-fast image processing, unlocking the full capabilities of modern hardware. Built and designed by Agustin Tortolero. Fueled by copious amounts of yerba mate. website: https://agustintortolero.pythonanywhere.com/ Source code: https://github.com/agustinTortolero/Imaging-Instruments

Imaging Instruments lite is a comprehensive image processing application developed following the Model-View-Controller (MVC) design pattern, utilizing Python, Tkinter, and OpenCV. It provides users with image manipulation capabilities, leveraging multi-threading with OpenMP and GPU acceleration using CUDA-C. Fueled by yerba mate and a passion for coding. Created by Agustin Tortolero. website: https://agustintortolero.pythonanywhere.com/ Source code: https://github.com/agustinTortolero/Imaging-Instruments-lite

NOTE: The source repository for this project has been moved to a NEW LOCATION: ************************************************************************************ https://github.com/imagingbook/imagingbook-public ************************************************************************************

ImgMin is a free, browser-based image compression tool that processes all images locally — no upload, no server, no file size limits. Uses the browser's Canvas API to compress JPG, PNG, WebP, and AVIF files entirely on your device. Unlike server-side tools like TinyPNG, your images never traverse external infrastructure, making it the only safe choice for passport photos, medical images, client work under NDA, and GDPR-sensitive scenarios. Features: batch compression (up to 10 images), drag & drop, clipboard paste (Ctrl+V), 6 languages (EN/ZH/FR/DE/ES/JA), target size compression. Completely free with no account required.

A very basic library with image processing functions.

Improla == IMage PROcessing LAb. It is meant for image processing research and teaching. From ImprolaLib-0.0.2, it supports reading and writing PNG images. It uses PNGwriter(pngwriter.sourceforge.net) for this purpose.

JCapture is a pure 'Java Screen Capture Program' written by Gorav Taneza. Features include timer based and manual capture. Saving of capture image in jpg, jpeg and png formats. Future plans include timer based repeat, email capability and basic image processing like rotate, sharpen. Moved to GitHub: https://github.com/goravtaneza/jcapture

Java Image Processing Package for Basic Image Processing Operations like reading, writing,displaying ...... etc .. without using any additional tools .

JIPL (Java Image Processing Library) is an attempt to provide an efficient way to load, filter, manipulate, and save images. The goal is to provide an intuitive and extensible library.

This is an Image Processing toolkit written in Java. The source code is intended to help you understand processes such as Color Inversion, Edge Detection, Fourier Transform, Morphological process, Laplacian Sharpening, Gaussian Noise Adding, and hist

Easy way to remove all metadata from a JPG/JPEG image file. The program creates a shortcut in the right click Send-To menu. When a file is right-clicked, use Send-To > JPEG Stripper to open the program. Supports selecting multiple files. When multiple files are selected, then clicking JPEG Stripper will automatically strip the metadata from all selected files without the dialog box popping open. There is an option to create new copies of files, or overwrite the existing files. The image quality is completely preserved, the image binary data itself is not modified at all, only the metadata is stripped. The executable is compiled for .NET 4.5.2.

JPhotoShop is based on java. The aim of JPhotoShop is to offer an effetvie image processing system . JPhotoShop is likely to achieve most function of Adobe PhotoShop you can read more about jphotoshop from: http://souljava.blog.163.com

JSIL is a library for image processing using the Symbian operating system version 6.0 which is efficient, uses pipelining and multiple inheritance. Interface queries are used to isolate image processing operations like indexing and iteration.

Jamilsoft Image Studio is a professional Image Processing application that aims to edit image created by Muhammad Jamil. It supports multiple tabs which mean you can edit multiple images at the same time. The package came with a free image viewer that can be use to view photos and make small editing.

Java 3D VR with basic headtracking. Basics of blob tracking, image processing. Make sure you have a webcam and an infrared led

jIR is an open source project focused on building an open platform for image processing tasks. It is composed of individual algorithms whose task is to extract or compare information in a data set of images.

JIF (Java Imaging Framework) aims to provide a rich client platform (plugin framework) for image processing.

The Java Vision Toolkit (JVT) is a Java Advanced Imaging GUI/library for machine vision and image processing applications. It provides a framework for machine vision and image processing algorithms for 2D and 3D images.

Jorik is about using graphics processing units in general purpose (GPGPU) computations: parallel sorting, dynamic PDE and image processing. Jorik is written on C++/DirectX/HSLS, supports both ATI and nVidia cards. It suits for not-gaming GPU benchmarking.

Képtár- means Picture Gallery in Hungarian. This application is a pure Java web application to allow people to post, show their pictures(jpeg) , photoalbums on the web. Képtár is based on Struts and the JDK 1.4 image processing APIs.

This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. Work is in progress to provide three-channel functionality, allowing comparison of relative intensity of red, green, and blue channels in multi-color images.