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edge stsdas.playpen


NAME · USAGE · DESCRIPTION · PARAMETERS · EXAMPLES · BUGS · REFERENCES
SEE_ALSO

NAME

edge -- 2-D image edge massaging.

USAGE

edge input output

DESCRIPTION

Several image restoration methods rely on an underlying assumption of circular convolution. However, actual convolutions that take place in an imaging system are linear instead. This difference results in artifacts associated with the image edges. These artifacts may be overcome by properly processing the image edges before submitting the image to the restoration procedure.

This task modifies image edges by applying either of two techniques:


(i)  Windowing.
(ii) Overlapped edge extension.

Windowing is the multiplication of the data frame by a tapering function. This function has value 1 over all the image except at a region near the edges, where it smoothly decays to zero. The resulting image will be closer to the one produced by circular convolution. The procedure is quite fast, but has the drawback of reducing the image's information content. The task includes Parzen (linear), Welch (quadratic) and Hanning (cosine-bell) functional forms.

A better approach is to perform an overlapped edge extension. The data frame edges are extended beyond the data limits, generating a larger pixel array than the input one. The extended region is filled up with interpolated values from the image itself, in such a way as to make the resulting image approximately circulant for the specific convolution at hand. The size of the extended region must be equal to half the PSF support size. The details are explained in Bates & McDonnell ("Image Restoration and Reconstruction", 1986, Claredon Press, p.~63, see also Image Restoration Newslleter, Space Telescope Science Institute, Summer 1993, p. 38).

Images of different sizes can be input simultaneously to the task.

PARAMETERS

input [file name template]
Input 2-dimensional image(s) section(s) to be edge-processed.
output [file name/directory]
File name for the output image(s). This parameter will also take the name of a directory. Output images are always of type real, regardless of input image type.
(type = "extension") [string, allowed values: extension | window]
Type of operation, either windowing or edge extension.
(function = "Hanning") [string, allowed values: Welch | Parzen | Hanning]
Type of windowing function.
(esize = 20) [int, min=0]
Size of region along image edges to be affected (window mode) or size of edge region to be augmented (extension).
(background = INDEF) [real]
Background to be used as stabilizing value at (extended) image rim. If not defined, the task will compute it automatically as the pixel average at the 5 bottomest input image lines.
(verbose = no) [boolean]
Print file names ?

EXAMPLES

BUGS

REFERENCES

This task was written by I.Busko

SEE ALSO


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