一种用于射电天文图像重建的自适应尺度算法

为了解决在成像过程中反卷积点扩展函数所带来的模糊效应，提出一种新的图像重建算法.新算法利用高斯函数分解模型，能够有效解决基于Delta函数分解模型所引起的问题，并在重建延展源和致密源方面具备更好的效果.通过VLA模拟观测数据对算法进行测试，并与现有的2类图像重建算法进行比较，结果表明，新算法能够有效平衡现有的反卷积算法的计算复杂度和性能问题，能对图像进行更加精确建模，具有更好的图像重建性能.

Improved Deconvolution Algorithm for Radio Interferometric Images

A new reconstruction algorithm is proposed to resolve the problem of deconvolution of the point spread function during the imaging process. The algorithm is based on the decomposition of Gaussian function model, which can solve the problems from delta function model and can reconstruct extended sources and point-like sources well. The algorithm is tested with a simulated observation with VLA and compared with another 2 algorithms. The results indicate that the improved algorithm can effectively balance computational complexity and performances, make more accurate modeling of the image, and shows superior image reconstruction performances.