Wavelet-Based Superresolution in Astronomy

Willett, R.; Jermyn, I.H.; Nowak, R.; Zerubia, J.

Abstract

High-resolution astronomical images can be reconstructed from several blurred and noisy low-resolution images using a computational process known as superresolution reconstruction. Superresolution reconstruction is closely related to image deconvolution, except that the low-resolution images are not registered and their relative translations and rotations must be estimated in the process. The novelty of our approach to the superresolution problem is the use of wavelets and related multiresolution methods within an expectation-maximization reconstruction process to improve the accuracy and visual quality of the reconstructed image. Simulations demonstrate the effectiveness of the proposed method, including its ability to distinguish between tightly grouped stars with a small set of observations.

Citation

Willett, R., Jermyn, I., Nowak, R., & Zerubia, J. (2003). Wavelet-Based Superresolution in Astronomy. In F. Ochsenbein, M. Allen, & D. Egret (Eds.), Astronomical data analysis software and systems XIII (107-116)

• Conference Name: Astronomical Data Analysis Software and Systems (ADASS XIII)
• Conference Location: Strasbourg
• Publication Date: Oct 1, 2003
• Deposit Date: Aug 12, 2011
• Publicly Available Date: May 13, 2016
• Volume: 314
• Pages: 107-116
• Series Title: ASP Conference Series
• Series ISSN: 1080-7926
• Book Title: Astronomical data analysis software and systems XIII.
• ISBN: 15838116991
• Public URL: https://durham-repository.worktribe.com/output/1678614
• Publisher URL: http://www.adass.org/adass/proceedings/adass03/O2-1/