Estimation of the point response function for undersampled data for the infrared camera of the Spitzer Space Telescope

David Makovoz; Patrick Lowrance

doi:10.1117/12.617953

16 September 2005 Estimation of the point response function for undersampled data for the infrared camera of the Spitzer Space Telescope

David Makovoz, Patrick Lowrance

Author Affiliations +

Proceedings Volume 5909, Applications of Digital Image Processing XXVIII; 590922 (2005) https://doi.org/10.1117/12.617953
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

Point Response Function (PRF) is an important characteristic of the combination of an optical system and the detector array. It has various applications, such as accurate photometry and astrometry, image interpolation and deconvolution. We present a technique of PRF estimation for undersampled detectors. We present the results of application of this technique to the data taken by the Infrared Array Camera (IRAC) of the Spitzer Space Telescope. The technique capitalizes on the numerous observations of point sources that cover the whole detector array as well as the area of an individual pixel. Data fitting is used to center the point source images on the sub-pixel level and to normalize them by the point source flux. They are subsequently resampled and shifted to a common grid using bicubic interpolation. Great redundancy of the data allows for effective outlier rejection. The quality of PRF estimation is verified using simulated images and real images taken by the Spitzer Space Telescope.

Citation Download Citation

David Makovoz and Patrick Lowrance "Estimation of the point response function for undersampled data for the infrared camera of the Spitzer Space Telescope", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 590922 (16 September 2005); https://doi.org/10.1117/12.617953

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