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howtocoaddimagesianewiterativemethodforimagereconstructionofditheredobservations
Wang Lei; Li Guoliang
2017
Source Publicationresearchinastronomyandastrophysics
ISSN1674-4527
Volume17Issue:10Pages:14
AbstractBy employing the previous voronoi approach and replacing its nearest neighbor approximation with drizzle in iterative signal extraction, we develop a fast iterative drizzle algorithm, named fidrizzle, to reconstruct the underlying band-limited image from undersampled dithered frames. compared with the existing idrizzle, the new algorithm improves rate of convergence and accelerates the computational speed. moreover, under the same conditions (e.g. the same number of dithers and iterations), fidrizzle can make a better quality reconstruction than idrizzle, due to the newly discovered high sampling caused decelerating convergence (hsdc) effect in the iterative signal extraction process. fidrizzle demonstrates its powerful ability to perform image deconvolution from undersampled dithers.
Language英语
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/29310
Collection中国科学院紫金山天文台
Affiliation中国科学院紫金山天文台
First Author Affilication中国科学院紫金山天文台
Recommended Citation
GB/T 7714
Wang Lei,Li Guoliang. howtocoaddimagesianewiterativemethodforimagereconstructionofditheredobservations[J]. researchinastronomyandastrophysics,2017,17(10):14.
APA Wang Lei,&Li Guoliang.(2017).howtocoaddimagesianewiterativemethodforimagereconstructionofditheredobservations.researchinastronomyandastrophysics,17(10),14.
MLA Wang Lei,et al."howtocoaddimagesianewiterativemethodforimagereconstructionofditheredobservations".researchinastronomyandastrophysics 17.10(2017):14.
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