Amazon's Deep Java Library (DJL) is one of several implementations of the new JSR 381 standard for building machine learning applications in Java.

OpenCV is an open-source library that provides a comprehensive set of functions and algorithms for computer vision and image processing. It supports Java bindings, which means you can use its ...

The project leverages the power of Java and the DeepLearning4J ecosystem for machine learning tasks. The initial motivation for this project comes from a desire to explore Java's capabilities in the ...

This project is a pipeline for processing image and signal data. The image processing component converts images to grayscale, while the signal processing component applies a simple moving average ...

BoofCV can be used for low-level image processing routines such as convolution and interpolation to high-level functionality such as image stabilization. Click here to learn more about BoofCV.

We have designed a series of computer sessions build around ImageJ (a public-domain software for image analysis), as a practical complement to a two-semester course in image processing. The students ...

This paper describes the design and development of a Java-based distributed system tool-environment for image analysis with special attention given to synthetic aperture radar (SAR) imaging ...