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An on-going development effort to write a set of class-based libraries in C++ for image I/O and image processing is described. These new libraries will provide the following features to application programs based on them: derivable image classes, machine-architecture independence of data storage, fast, user-customizable image I/O, unlimited number of descriptive data items, arbitrary number of image dimensions, user-definable data types, optional automatic type conversion and compression, and support for accessing images using reference files and pipes. This highly-flexible and powerful capability is designed to meet the needs of workstation-based image processing and computer vision research in a multi- departmental university environment.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

<title>Comprehensive C++ I/O libraries supporting image processing in a university research environment</title>