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Deconvolution of adaptive optics near-infrared system (ADONIS) images

Post processing of data obtained from the European Southern Observatory’s ADONIS system is presented here. A physically constrained iterative deconvolution algorithm is applied to both bright and faint object data demonstrating both object and point spread function recovery. Comparisons are made with standard linear and non-linear deconvolution algorithms. Simulated data is used to investigate the combined system and post-processing performance on faint extended objects.