Drizzle: A Method for the Linear Reconstruction of Undersampled Images

Details Drizzle: A Method for the Linear Reconstruction of Undersampled Images Drizzle: A Method for the Linear Reconstruction of Undersampled Images

1998-08-10

arxiv.org/abs/astro-ph/9808087v2

Publ.Astron.Soc.Pac.114:144-152,2002

Astronomy and Astrophysics

Astrophysics

19 pages, 5 figures, accepted for publication in February 2002 PASP. Major changes and much additional material since original

Scientific paper

10.1086/338393

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 both on 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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