Reduction of nonstationary noise in telescope imagery using a support constraint

We demonstrate the use of image support constraints in a noise-reduction algorithm. Previous work has revealed serious limits to the use of support if the image noise is stationary in the frequency domain; we use simulation and numerical calculations to show these limits are removed for nonstationary noise generated by inverse-filtering adaptive optics image spectra. To quantify the noise reduction, we plot the fractional noise removed by the proposed algorithm over a range of support sizes.