| adaptive | stsdas.analysis.restore | adaptive |
adaptive -- Adaptive filter for an image.
adaptive input output
COPYRIGHT (c) 1990 European Southern Observatory IDENT filter.adap.hlq AUTHOR G.M. Richter KEYWORDS MIDAS, Smoothing, gradient-filter, Laplace-filter PURPOSE On-line help file for the command: FILTER/ADAPTIV VERSION 1.0 10-APR-1991 : Creation, Richter
This task evalutes---using an H-transform---the local signal-to-noise ratio as a function of decreasing resolution: mean gradients and curvatures over different scale lengths (obtained from the H-coefficients of different orders) are compared to the corresponding expectation values of the noise. The order for which this signal-to-noise ratio exceeds a given parameter threshold indicates the local resolution scale length of the signal (i.e., the point becomes significant at this order), and this determines the size of the impulse response of the filter at this point.
When the task is completed, it displays information about the standard deviation and expectation values of the gradients and the Laplace terms at every order involved, and the number of pixels that became significant on every order by the gradient and by the Laplace term, respectively. The rest of the pixels are set to the maximum size response.
1. The image "frame" is adaptively smoothed with a maximum filter size of 31x31 pixels. The noise statistics are estimated from the whole image rather than from a mask (signal is included so care must be used when the image has a strong signal!) The output image is "result".
pl> adaptive frame result "" s p 31 3 a