It is a general-purpose, multidimensional image processing library. It provides an interface-driven design that supports numeric and non-numeric data types (8-bit unsigned integer, 32-bit floating point, etc.) in an extensible way. It implements several data sources and sample organizations, including one single primitive array, one array per plane, N-dimensional array "cells" cached to and from disk on demand, and planes read on demand from disk.
ImgLib2 is a tool in the Image Optimization category of a tech stack.
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What are some alternatives to ImgLib2?
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
The universal multimedia toolkit.
Java are some of the popular tools that integrate with ImgLib2. Here's a list of all 1 tools that integrate with ImgLib2.