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 image noise is wide-sense 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 fractional noise removed by the proposed algorithm over a range of support sizes. We repeat this calculation for other noise sources with varying degrees of stationarity.
©1997 Optical Society of AmericaFull Article | PDF Article
OSA Recommended Articles
J. Opt. Soc. Am. A 16(7) 1769-1778 (1999)
Charles L. Matson and Michael C. Roggemann
Appl. Opt. 34(5) 767-780 (1995)
Jianlin Zhang, Qiheng Zhang, and Guangming He
Appl. Opt. 48(12) 2350-2355 (2009)