Title :
Reduction of nonstationary noise in telescope imagery using a support constraint
Author :
Tyler, D.W. ; Matson, C.L.
Author_Institution :
Schafer Corp., Albuquerque, NM, USA
Abstract :
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
Keywords :
adaptive filters; adaptive optics; adaptive signal processing; deconvolution; filtering theory; image processing; inverse problems; noise; spectral analysis; telescopes; deconvolution amplified noise; fractional noise; frequency domain; image noise; image spectra; image support constraints; inverse-filtering adaptive optics; noise-reduction algorithm; nonstationary noise reduction; simulation; support sizes; telescope imagery; 1f noise; Adaptive optics; Convolution; Frequency domain analysis; Noise generators; Noise measurement; Noise reduction; Numerical simulation; Optical noise; Optical sensors; Signal to noise ratio; Telescopes;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638765
