Computational Imaging for Cultural Heritage: Recent developments in spectral imaging, 3-D surface measurement, image relighting, and X-ray mapping
Computational Imaging for Cultural Heritage: Recent developments in spectral imaging, 3-D surface measurement, image relighting, and X-ray mapping
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文化遗产计算成像：光谱成像、3D 表面测量、图像重新照明和 X 射线测绘的最新进展
DOI：
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发表时间：
2016
影响因子：
14.9
通讯作者：
A. Katsaggelos
中科院分区：
文献类型：
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作者：
Xiang Huang;E. Uffelman;O. Cossairt;M. Walton;A. Katsaggelos
由于艺术本质上是视觉的，因此使用图像一直是理解其结构，形式和历史的重要方式。最近，随着计算和成像技术的进步，科学家可以非侵入性地分析艺术，历史学家可以对艺术提出新的社会问题，公众可以以前所未有的方式探索艺术并与艺术互动，这些都是与我们共同文化遗产中的物品互动的新方式。在将图像处理技术应用于艺术作品的常规摄影图像方面有着丰富的历史，其中许多已经在IEEE信号处理杂志的先前特刊（例如，2008年和2015年7月号）。建立在这些贡献，本文包括一个调查的技术计算是中央的图像采集过程。被称为计算成像，在这一领域正在开创的方法是越来越相关的文化遗产的应用，因为他们利用先进的图像处理，采集和显示技术，使科学数据易于理解的一个广泛的队列感兴趣的非技术研究人员了解艺术的视觉内容。目前，只有一个小的研究社区进行文化遗产的计算成像。在这里，我们的目标是通过讨论将这个不断发展的新领域介绍给一个更大的研究社区：1）艺术成像的历史背景，2）对艺术中的计算成像感兴趣的研究人员的新兴社区，最后，3）我们对这个新领域未来的愿景。
Because art is inherently visual, the use of imaging has long been an important way to understand its structure, form, and history. Recently, new ways of engaging with objects from our shared cultural heritage are possible with advances in computation and imaging that allow scientists to analyze art noninvasively, historians to pose new social questions about the art, and the public to explore and interact with art in ways never before possible. There is a rich history in applying image processing techniques to conventional photographic images of works of art, many of which have been highlighted in previous special issues of IEEE Signal Processing Magazine (e.g., the 2008 and 2015 July issues). Building on these contributions, this article comprises a survey of techniques where computation is central to the image acquisition process. Known as computational imaging, the methods being pioneered in this field are increasingly relevant to cultural heritage applications because they leverage advances in image processing, acquisition, and display technologies that make scientific data readily comprehensible to a broad cohort of nontechnical researchers interested in understanding the visual content of art. Presently, only a small research community undertakes computational imaging of cultural heritage. Here we aim to introduce this growing new field to a larger research community by discussing: 1) the historic background of imaging of art, 2) the burgeoning present day community of researchers interested in computational imaging in the arts, and finally, 3) our vision for the future of this new field.