The 2010 interferometric imaging beauty contest
The 2010 interferometric imaging beauty contest
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2010年干涉成像选美大赛
DOI：
10.1117/12.857066
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
L. Mugnier
中科院分区：
文献类型：
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作者：
F. Malbet;W. Cotton;G. Duvert;P. Lawson;A. Chiavassa;J. Young;F. Baron;D. Buscher;S. Rengaswamy;B. Kloppenborg;M. Vannier;L. Mugnier
我们介绍了第四届光学/红外干涉成像选美比赛的结果。比赛包括对来自模型源并以OI-FITS格式分发的测试数据集进行盲成像。测试数据包括在红外线中以光谱分辨率“观察”到的物体的光谱数据集。这次有4种不同的算法竞争：BSMEM双谱最大熵方法由杨，男爵和Buscher; RPR递归相位重建由Rengaswamy; SQUEEZE马尔可夫链蒙特卡罗算法由男爵，Monnier和Kloppenborg;和，WISARD弱相位干涉样品交替重建设备由Vannier和Mugnier。介绍了竞赛模型图像、参赛数据和规则，以及各种方法的图像重建结果。这些结果进行了讨论，以及每个算法的优势和局限性。
We present the results of the fourth Optical/IR Interferometry Imaging Beauty Contest. The contest consists of blind imaging of test data sets derived from model sources and distributed in the OI-FITS format. The test data consists of spectral data sets on an object "observed" in the infrared with spectral resolution. There were 4 different algorithms competing this time: BSMEM the Bispectrum Maximum Entropy Method by Young, Baron & Buscher; RPR the Recursive Phase Reconstruction by Rengaswamy; SQUEEZE a Markov Chain Monte Carlo algorithm by Baron, Monnier & Kloppenborg; and, WISARD theWeak-phase Interferometric Sample Alternating Reconstruction Device by Vannier & Mugnier. The contest model image, the data delivered to the contestants and the rules are described as well as the results of the image reconstruction obtained by each method. These results are discussed as well as the strengths and limitations of each algorithm.
麻省理工学院/哈佛大学和史密森尼 CfA/佛罗里达大学（美国）
DOI：
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发表时间：
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期刊：
影响因子：
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