论文标题
通过迭代多曝光共同结合超分辨率
Towards Super-resolution via Iterative multi-exposure Coaddition
论文作者
论文摘要
在本文中，我们为迭代多曝光共同辅助提供了另一种替代性上采样和PSF反卷积方法。与以前的作品不同，新方法具有比率校正项，这使得迭代能够比具有差异校正项的迭代更快地收敛到基础图像的准确表示。通过采用这种方法，可以将不采样的多型曝光与超分辨率共同获得，并获得更高的峰值信噪比。一组模拟表明，我们可以利用新方法的许多优势，例如在信噪比中，所有源通量，超分辨率和源畸变比等的平均偏差，对天文学光度法和形态友好，并使弱重力透镜的微弱源检测和剪切测量受益。它比本文测试的先前作品提供了忠诚度的改善。
In this article, we provide an alternative up-sampling and PSF deconvolution method for the iterative multi-exposure coaddition. Different from the previous works, the new method has a ratio-correction term, which allows the iterations to converge more rapidly to an accurate representation of the underlying image than those with difference-correction terms. By employing this method, one can coadd the under-sampled multi-exposures to a super-resolution and obtain a higher peak signal-to-noise ratio. A set of simulations show that we can take many advantages of the new method, e.g. in the signal-to-noise ratio, the average deviation of all source fluxes, super-resolution, and source distortion ratio, etc., which are friendly to astronomical photometry and morphology, and benefits faint source detection and shear measurement of weak gravitational lensing. It provides an improvement in fidelity over the previous works tested in this paper.
