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26 September 2013Image enhancement for astronomical scenes
Telescope images of astronomical objects and man-made satellites are frequently characterized by high dynamic range
and low SNR. We consider the problem of how to enhance these images, with the aim of making them visually useful
rather than radiometrically accurate. Standard contrast and histogram adjustment tends to strongly amplify noise in dark
regions of the image. Sophisticated techniques have been developed to address this problem in the context of natural
scenes. However, these techniques often misbehave when confronted with low-SNR scenes that are also mostly empty
space. We compare two classes of algorithms: contrast-limited adaptive histogram equalization, which achieves spatial
localization via a tiling of the image, and gradient-domain techniques, which perform localized contrast adjustment by
non-linearly remapping the gradient of the image in a content-dependent manner. We extend these to include a priori
knowledge of SNR and the processing (e.g. deconvolution) that was applied in the preparation of the image. The
methods will be illustrated with images of satellites from a ground-based telescope.
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Jacob Lucas, Brandoch Calef, Keith Knox, "Image enhancement for astronomical scenes," Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885603 (26 September 2013); https://doi.org/10.1117/12.2025191