Java Advanced Imaging API: A Tutorial

Abstract

This tutorial shows how the Java language and its Java Advanced Imaging (JAI) Application Program Interface (API) can be used to create applications for image representation, processing and visualization. The Java language advantages are its low cost, licensing independence and inter-platform portability. The JAI API advantages are its flexibility and variety of image processing operators. The purpose of this tutorial is to present the basic concepts of the JAI API, including several complete and verified code samples which implements simple image processing and visualization operations. At the end of the tutorial the reader should be able to implement his/her own algorithms using the Java language and the JAI API.

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data

“…One application of this function is to only keep the flood altitude values displayed in Figure 1a which signify an altitude value smaller than a given constant. Implementations like PostGIS [31] and JAI [32] provide 26 and 108 raster functions respectively. Out of those we have implemented 14 in our system which we describe in [18].…”

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data -- Technical Report

“…One application of this function is to only keep the flood altitude values displayed in Figure 1a which signify an altitude value smaller than a given constant. Implementations like PostGIS [31] and JAI [32] provide 26 and 108 raster functions respectively. Out of those we have implemented 14 in our system which we describe in [18].…”