The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Drizzle: A Method for the Linear Reconstruction of Undersampled Images
Open accessAbstract
We have developed a method for the linear reconstruction of an image from undersampled, dithered data. The algorithm, known as Variable‐Pixel Linear Reconstruction, or informally as "Drizzle," preserves photometry and resolution, can weight input images according to the statistical significance of each pixel, and removes the effects of geometric distortion on both image shape and photometry. This paper presents the method and its implementation. The photometric and astrometric accuracy and image fidelity of the algorithm as well as the noise characteristics of output images are discussed. In addition, we describe the use of drizzling to combine dithered images in the presence of cosmic rays.
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Citations
Cites
Bayesian-Based Iterative Method of Image Restoration*
Richardson, W. H. (1972) · Journal of the Optical Society of America · doi:10.1364/josa.62.000055 · Cited by 4,160
An iterative technique for the rectification of observed distributions
Lucy, L. B. (1974) · The Astronomical Journal · doi:10.1086/111605 · Cited by 3,866 · cited 1×
“…due to the PSF and the pixel response function through enhancing the high frequencies in the image, such as the Richardson-Lucy (Richardson 1972; Lucy 1974; Lucy and Hook 1991) and maximum entropy methods (Gull and Daniell 1978; Weir and Djorgovski 1990), directly exchange signal-to-noise for…”
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Cited by
GalSim: The modular galaxy image simulation toolkit
Rowe, B. T. P., Jarvis, M., Mandelbaum, R., Bernstein, G. M., Bosch, J., Simet, M., Meyers, J. E., Kacprzak, T., Nakajima, R., Zuntz, J., et al. (2015) · Astronomy and Computing · doi:10.1016/j.ascom.2015.02.002 · Cited by 428
The SCUBA Half-Degree Extragalactic Survey - II. Submillimetre maps, catalogue and number counts
Coppin, K., Chapin, E. L., Mortier, A. M. J., Scott, S. E., Borys, C., Dunlop, J. S., Halpern, M., Hughes, D. H., Pope, A., Scott, D., et al. (2006) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2006.10961.x · Cited by 423
Weak Lensing for Precision Cosmology
Mandelbaum, R. (2018) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-081817-051928 · Cited by 409
Strolger, L., Riess, A. G., Dahlen, T., Livio, M., Panagia, N., Challis, P., Tonry, J. L., Filippenko, A. V., Chornock, R., Ferguson, H., et al. (2004) · The Astrophysical Journal · doi:10.1086/422901 · Cited by 309
Self-citationRevealing the Properties of Dark Matter in the Merging Cluster MACS J0025.4−1222
Bradač, M., Allen, S. W., Treu, T., Ebeling, H., Massey, R., Morris, R. G., von der Linden, A., & Applegate, D. (2008) · The Astrophysical Journal · doi:10.1086/591246 · Cited by 303
Metadata
- Authors
- Fruchter, A. S., & Hook, R. N.
- Venue
- Publications of the Astronomical Society of the Pacific
- Publisher
- IOP Publishing
- Published
- 2002-02
- Volume
- 114
- Issue
- 792
- Pages
- 144-152
- ISSN
- 0004-6280 (ISSN-L)
- 1538-3873
- OpenAlex
- W2212234492
- Cited by
- 829
- References
- 2
- FWCI
- 114.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Fruchter, A. S., & Hook, R. N. (2002). Drizzle: A Method for the Linear Reconstruction of Undersampled Images. Publications of the Astronomical Society of the Pacific. https://doi.org/10.1086/338393
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