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...It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK. SimpleITK itself is written in C++ but is available for a large number of programming languages. Wrapping of the C++ code is accomplished through SWIG, in principle, any language wrapped by SWIG should be applicable to SimpleITK. Unlike ITK's support of n-dimensional spatio-temporal images, SimpleITK supports 2D, 3D and 4D images. The dimensionality refers to spatiotemporal dimensions, the voxels can be n-dimensional vectors. Open-source multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++. ...

ResIL started as a fork of DevIL and is actively maintained to use up-to-date libraries. The API has been updated to work with several threads. Countless fixes have been applied, much of the code base has actually been rewritten to enhance stability. Support for webp has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions.

Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro...

It is a command line application to which you can pass a color, and the application transforms the input images to that color scale image (as if it was a gray scale, but that color instead of gray) In addition, the application allows you to set the global alpha of the image, and translate a particular color to a totally transparent alpha You can also disable alpha component, just in case the input image is a .jpg, or there is any restriction that makes the output image from being saved...

WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies.

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

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

An image processing environment, based in Java, and developed on the concept of filters applied to an input. Maybe it will work out, maybe it won't. But it's better then wasting space on SourceForge for an old game...