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The Montage Image Mosaic Engine was designed as a scalable toolkit, writtenin C for performance and portability across *nix platforms, that assembles FITSimages into mosaics. The code is freely available and has been widely used inthe astronomy and IT communities for research, product generation and fordeveloping next-generation cyber-infrastructure. Recently, it has begun tofinding applicability in the field of visualization. This has come aboutbecause the toolkit design allows easy integration into scalable systems thatprocess data for subsequent visualization in a browser or client. And itincludes a visualization tool suitable for automation and for integration intoPython: mViewer creates, with a single command, complex multi-color imagesoverlaid with coordinate displays, labels, and observation footprints, andincludes an adaptive image histogram equalization method that preserves thestructure of a stretched image over its dynamic range. The Montage toolkitcontains functionality originally developed to support the creation andmanagement of mosaics but which also offers value to visualization: abackground rectification algorithm that reveals the faint structure in animage; and tools for creating cutout and down-sampled versions of large images.Version 5 of Montage offers support for visualizing data written in HEALPixsky-tessellation scheme, and functionality for processing and organizing imagesto comply with the TOAST sky-tessellation scheme required for consumption bythe World Wide Telescope (WWT). Four online tutorials enable readers toreproduce and extend all the visualizations presented in this paper.

The Application of the Montage Image Mosaic Engine To The Visualization Of Astronomical Images