Referenced Items are not available for this document.
Image restoration based upon unrealistic homogeneous image and blur models can result in highly inaccurate estimates with excessive ringing. Thus, it is important at each pixel location to restore the image using the particular image and blur parameters characteristic of the immediate local neighborhood. Toward this goal, a multiple model extended Kalman filters (EKF) procedure was developed and tested for spatially varying parameterized blurs. Results show this procedure to be very useful for restoring representative images with significant simulated variations of the blur parameter
Published in:
Image Processing, IEEE Transactions on
(Volume:4
,
Issue:
4
)
Date of Publication: Apr 1995
- Page(s):
- 520 - 523
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 4927024
- Digital Object Identifier :
- 10.1109/83.370684
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Apr 1995
- Sponsored by :
- IEEE Signal Processing Society
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