| Comparison of the Pixon and MEMSYS 5 image reconstructions for a synthetic data set for which the true (unblurred) image, the blurring function (PSF), and the input noise are known a priori. Top row (from left to right): images of (1) the true image, (2) the blurred and noisy input data to the reconstruction, (3) the Pixon reconstruction, and (4) the MEMSYS 5 reconstruction. Middle row: surface plots of the top row images. Bottom row (from left to right): images of (1) the PSF, (2) input noise, and (3) residuals for the Pixon and (4) MEMSYS 5 reconstructions. As can be seen from the figure, the MEMSYS 5 reconstruction has strong signal-correlated residuals and systematically underestimates the source strength. In addition, it is plagued with many spurious sources. By contrast, the Pixon reconstruction has statistically perfect residuals and hence faithful source strength determination. Furthermore, all sources are real since the Pixon method robustly rejects false sources. |
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