论文标题
Image-OI：OIFITS扩展及其在比较图像重建算法中的应用
IMAGE-OI: an OIFITS extension and its application in OImaging to compare image reconstruction algorithms
论文作者
论文摘要
在干涉法中，重建图像的质量取决于所使用的算法及其参数，并且用户通常需要将几种算法的结果与天体物理对象的实际特征分开。这种比较可能会迅速变得笨拙，因为这些软件包大不相同。 Oimaging是一个图形接口，旨在是图像重建软件包的常见前端。使用弹性，用户现在可以在单个接口中执行多个重建。从给定的数据集中，构图允许对不同的图像重建算法进行基准测试，并评估图像重建过程的可靠性。为此，oimaging使用提出的图像oi oii oii oifits标准化与图像重建算法的通信。
In interferometry, the quality of the reconstructed image depends on the algorithm used and its parameters, and users often need to compare the results of several algorithms to disentangle artifacts from actual features of the astrophysical object. Such comparisons can rapidly become cumbersome, as these software packages are very different. OImaging is a graphical interface intended to be a common frontend to image reconstruction software packages. With OImaging, the user can now perform multiple reconstructions within a single interface. From a given dataset, OImaging allows benchmarking of different image reconstruction algorithms and assessment of the reliability of the image reconstruction process. To that end, OImaging uses the IMAGE-OI OIFITS extension proposed to standardize communication with image reconstruction algorithms.
