| Noise and bias in square-root compression schemes (2009) | |||||||||
Abstract | |||||||||
| We investigate data compression schemes for proposed all-sky diffraction-limited visible/NIR sky surveys aimed at the dark energy problem. We show that lossy square-root compression to 1 bit of noise per pixel, followed by standard lossless compression algorithms, reduces the images to 2.5-4 bits per pixel, depending primarily upon the level of cosmic-ray contamination of the images. Compression to this level adds noise equivalent to a 10% penalty in observing time. We derive an analytic correction to flux biases inherent to the square-root compression scheme. Numerical tests on simple galaxy models confirm that galaxy fluxes and shapes are measured with systematic biases . Comment: Submitted to PASP | |||||||||
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