AIRY: a complete tool for the simulation and the reconstruction of astronomical images

The Software Package AIRY (acronym for Astronomical Image Restoration in interferometrY) is a software tool designed to perform simulation and/or deconvolution of images of Fizeau interferometers as well as of any kind of optical telescopes. AIRY is written in IDL and is a Software Package of the CADS Problem Solving Environment (PSE): it is made of a set of modules, each one representing a specific task. We present here the last version of the software, arrived at its sixth release after 10 years of development. This version of AIRY summarizes the work done in recent years by our group, both on AIRY and on AIRY-LN, the version of the software dedicated to the image restoration of LINC-NIRVANA (LN), the Fizeau interferometer of the Large Binocular Telescope (LBT). AIRY v.6.0 includes a renewed deconvolution module implementing regularizations, accelerations, and stopping criteria of standard algorithms, such as OSEM and Richardson-Lucy. Several modules of AIRY have been improved and, in particular, the one used for the extraction and extrapolatioThe Software Package AIRY (acronym for Astronomical Image Restoration in interferometrY) is a software tool designed to perform simulation and/or deconvolution of images of Fizeau interferometers as well as of any kind of optical telescopes. AIRY is written in IDL and is a Software Package of the CAOS Problem Solving Environment (PSE): it is made of a set of modules, each one representing a speci_c task. We present here the last version of the software, arrived at its sixth release after 10 years of development. This version of AIRY summarizes the work done in recent years by our group, both on AIRY and on AIRY-LN, the version of the software dedicated to the image restoration of LINC-NIRVANA (LN), the Fizeau interferometer of the Large Binocular Telescope (LBT). AIRY v.6.0 includes a renewed deconvolution module implementing regularizations, accelerations, and stopping criteria of standard algorithms, such as OSEM and Richardson-Lucy. Several modules of AIRY have been improved and, in particular, the one used for the extraction and extrapolation of the PSF. In addition, AIRY has modules dedicated to the simulation of interferometric images and utility modules for data reading, writing, and visualization. After a description of the implemented reconstruction methods and of the whole set of modules, we provide several example projects in order to give to the astronomical community a powerful tool for the preparation of the observations and for the real data deconvolution.n of the PSF. In addition, AIRY has modules dedicated to the simulation of interferometric images and utility modules for data reading, writing, and visualization. After a description of the implemented reconstruction methods and of the whole set of modules, we provide several example projects in order to give to the astronomical community a powerful tool for the preparation of the observations and for the real data deconvolution.

[1]  Marcel Carbillet,et al.  AIRY: Astronomical Image Restoration in interferometrY , 2001 .

[2]  Marcel Carbillet,et al.  Deconvolution methods for LINC/NIRVANA data reduction , 2004, SPIE Astronomical Telescopes + Instrumentation.

[3]  Marcel Carbillet,et al.  Strehl-constrained iterative blind deconvolution for post-adaptive-optics data , 2009 .

[4]  R. White,et al.  Image recovery from data acquired with a charge-coupled-device camera. , 1993, Journal of the Optical Society of America. A, Optics and image science.

[5]  C. Vérinaud,et al.  Modelling astronomical adaptive optics – I. The software package caos , 2005 .

[6]  Mario Bertero,et al.  Imaging with LINC-NIRVANA, the Fizeau interferometer of the Large Binocular Telescope: state of the art and open problems , 2011 .

[7]  Marcel Carbillet,et al.  Deconvolution of multiple images with high dynamic range and an application to LBT LINC-NIRVANA , 2006 .

[8]  M. Bertero,et al.  Application of the OS-EM method to the restoration of LBT images , 2000 .

[9]  Armando Riccardi,et al.  CAOS: a numerical simulation tool for astronomical adaptive optics (and beyond) , 2004, SPIE Astronomical Telescopes + Instrumentation.

[10]  William H. Richardson,et al.  Bayesian-Based Iterative Method of Image Restoration , 1972 .

[11]  Mario Bertero,et al.  Image restoration methods for the Large Binocular Telescope (LBT) , 2000 .

[12]  Marcel Carbillet,et al.  AIRY-LN: an ad-hoc numerical tool for deconvolution of images from the LBT instrument LINC-NIRVANA , 2008, Astronomical Telescopes + Instrumentation.

[13]  I. Csiszár Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems , 1991 .

[14]  Emiliano Diolaiti,et al.  Analysis of LBT LINC-NIRVANA simulated images of galaxies , 2010, Astronomical Telescopes + Instrumentation.

[15]  Marcel Carbillet,et al.  Application of iterative blind deconvolution to the reconstruction of LBT LINC-NIRVANA images , 2006 .

[16]  Marcel Carbillet,et al.  Restoration of interferometric images - I. The software package AIRY , 2002 .

[17]  Éric Thiébaut,et al.  Image Reconstruction in Optical Interferometry , 2014 .

[18]  Marcel Carbillet,et al.  Restoration of interferometric images II. The case-study of the Large Binocular Telescope , 2002 .

[19]  L. Testi,et al.  Diamonds in HD 97048: A Closer Look , 2004, astro-ph/0409644.

[20]  Luca Zanni,et al.  A discrepancy principle for Poisson data , 2010 .

[21]  Armando Riccardi,et al.  The CAOS problem-solving environment: recent developments , 2010, Astronomical Telescopes + Instrumentation.

[22]  Martin J. Wainwright,et al.  Image denoising using scale mixtures of Gaussians in the wavelet domain , 2003, IEEE Trans. Image Process..

[23]  C. Helstrom,et al.  Compensation for readout noise in CCD images , 1995 .

[24]  Alessandro Foi,et al.  Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising , 2011, IEEE Transactions on Image Processing.

[25]  Marcel Carbillet,et al.  Imaging with LINC-NIRVANA , 2010, IEEE Signal Processing Magazine.

[26]  L. Zanni,et al.  A scaled gradient projection method for constrained image deblurring , 2008 .

[27]  Mario Bertero,et al.  A simple method for the reduction of boundary effects in the Richardson-Lucy approach to image deconvolution , 2005 .

[28]  William T. Freeman,et al.  Presented at: 2nd Annual IEEE International Conference on Image , 1995 .

[29]  Mark Andrews,et al.  Asymmetric iterative blind deconvolution of multiframe images , 1998, Optics & Photonics.

[30]  Marcel Carbillet,et al.  Iterative methods for the reconstruction of astronomical images with high dynamic range , 2007 .

[31]  P. Bendjoya,et al.  High-resolution thermal infrared imaging of MWC300 - VLT/VISIR observations in BURST mode , 2008 .

[32]  L. Lucy An iterative technique for the rectification of observed distributions , 1974 .

[33]  D S Biggs,et al.  Acceleration of iterative image restoration algorithms. , 1997, Applied optics.

[34]  F. R. Harnden,et al.  Astronomical Data Analysis Software and Systems X , 2001 .

[35]  Mario Bertero,et al.  Advances in the reconstruction of LBT LINC-NIRVANA images , 2007 .

[36]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[37]  H. Lantéri,et al.  Penalized maximum likelihood image restoration with positivity constraints:multiplicative algorithms , 2002 .

[38]  Marcel Carbillet,et al.  Restoration of interferometric images - IV. An algorithm for super-resolution of stellar systems , 2005 .

[39]  Marcel Carbillet,et al.  Restoration of interferometric images. III. Efficient Richardson-Lucy methods for LINC-NIRVANA data reduction , 2005 .

[40]  Andrea Richichi,et al.  Large Binocular Telescope image restoration using simulated adaptively corrected point-spread functions , 2000, Astronomical Telescopes and Instrumentation.

[41]  M. Daube-Witherspoon,et al.  An Iterative Image Space Reconstruction Algorthm Suitable for Volume ECT , 1986, IEEE Transactions on Medical Imaging.

[42]  Marcel Carbillet,et al.  Reduction of boundary effects in multiple image deconvolution with an application to LBT LINC-NIRVANA , 2006 .

[43]  M. Bertero,et al.  The study of an iterative method for the reconstruction of images corrupted by Poisson and Gaussian noise , 2008 .

[44]  H. Malcolm Hudson,et al.  Accelerated image reconstruction using ordered subsets of projection data , 1994, IEEE Trans. Medical Imaging.