蒙太奇图像拼接引擎在天文图像可视化中的应用
The Application of the Montage Image Mosaic Engine To The Visualization Of Astronomical Images
摘要：
Montage Image Mosaic Engine被设计为一个可扩展的工具包，用C语言编写，以提高性能和跨 *nix平台的可移植性，将FITS图像组装成马赛克。该代码是免费提供的，并已被广泛用于天文学和IT社区的研究，产品生成和开发下一代网络基础设施。最近，它已经开始在可视化领域中找到适用性。这是因为工具包的设计允许轻松集成到可扩展的系统中，这些系统处理数据，以便在浏览器或客户端中进行后续可视化。它还包括一个适用于自动化和集成到Python中的可视化工具：mViewer使用单个命令创建覆盖有坐标显示、标签和观察足迹的复杂多色图像，并包括一个自适应图像直方图均衡化方法，该方法可在其动态范围内保留拉伸图像的结构。Montage工具包包含最初开发用于支持马赛克创建和管理的功能，但也为可视化提供了价值：背景校正算法，可显示图像中的模糊结构;以及用于创建大图像的剪切和下采样版本的工具。Montage版本5支持可视化以HEALPix天空镶嵌方案写入的数据，并提供处理和组织图像的功能，以符合World Wide Telescope（WWT）消费所需的TOAST天空镶嵌方案。四个在线教程使读者能够复制和扩展本文中介绍的所有可视化。
英文摘要：
The Montage Image Mosaic Engine was designed as a scalable toolkit, written in C for performance and portability across *nix platforms, that assembles FITS images into mosaics. The code is freely available and has been widely used in the astronomy and IT communities for research, product generation and for developing next-generation cyber-infrastructure. Recently, it has begun to finding applicability in the field of visualization. This has come about because the toolkit design allows easy integration into scalable systems that process data for subsequent visualization in a browser or client. And it includes a visualization tool suitable for automation and for integration into Python: mViewer creates, with a single command, complex multi-color images overlaid with coordinate displays, labels, and observation footprints, and includes an adaptive image histogram equalization method that preserves the structure of a stretched image over its dynamic range. The Montage toolkit contains functionality originally developed to support the creation and management of mosaics but which also offers value to visualization: a background rectification algorithm that reveals the faint structure in an image; and tools for creating cutout and down-sampled versions of large images. Version 5 of Montage offers support for visualizing data written in HEALPix sky-tessellation scheme, and functionality for processing and organizing images to comply with the TOAST sky-tessellation scheme required for consumption by the World Wide Telescope (WWT). Four online tutorials enable readers to reproduce and extend all the visualizations presented in this paper.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
