The magnitude of the largest weight to be used in the filtering. Default=32000
The OTF as recomputed from the weights is to be printed out. Default is it will be printed.
Use the RECT algorithm to computed the OTF. Default is the RECT algorithm will not be used.
This is used in the final transformation equation. Each output point is scaled by OUT = A + B*dn / DIVIDE where A and B are defined by SCALE. The default is that the sum of the weights is used. If this sum is zero, then 1 is used.
This keyword specifies the application of a linear transformation to each output point .Default is SCALE=(A,B)=(0,1).
The extent of the weight matrix in lines. Must be odd. For 1-dim filter, 1 < NLW < 1025. For 2-dim filter, 1 < NLW < 65. Default is 11.
The extent of the weight matrix in samples. Must be odd. For 1-dim filter, 1 < NSW < 1025. For 2-dim filter, 1 < NSW < 65. Default is 11.
N pairs of real numbers may be input representing the (amplitude,frequency) values of the OTF. The last frequency value must be .5. N must be LE 33. No default.
N real numbers may be input representing the horizontal amplitude values of the OTF at the frequencies specified by HIF. 2 < N < 33. No default.
N real numbers may be input representing the horizontal frequencies cor- responding to the HIA amplitude values. 2 < N < 33. No default.
N real numbers may be input representing the vertical amplitude values of the OTF at the frequencies specified by VIF. 2 < N < 33. No default.
N real numbers may be input representing the vertical frequencies cor- responding to the VIA amplitude values. 2 < N < 33. No default.
The signal-to-noise ratio used in the transformation of the OTF into its
Wiener reciprocal. The reciprocal will correct the image for degradation
due to the input OTF. The expression is
OTF = OTF / (OTF **2 + 1/SN**2 )
out in in
SN also serves as the flag to perform the reciprocal.
Default is no reciprocal.
The pair of values (a,b) specifies the range of dn over which the filter weights are to be applied.
N real numbers may be input which represent the Point Spread Function or the right side of the Line Spread Function. The central weight is first. The OTF will be computed from this. 1 < N < 33. No default.