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A multiple model algorithm for the adaptive restoration of images

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3 Author(s)
Tekalp, A.M. ; Rensselaer Polytechnic Institute, Troy, NY ; Woods, J.W. ; Kaufman, H.

We present a multiple model image restoration technique with on-line edge detection over noisy and blurred images. Four edge models corresponding to major correlation directions and an isotropic model are used to represent the image. Unlike previous results, a decision-directed approach is used to adaptively estimate the edge orientation which then defines the appropriate deconvolution model. The overall effect is space-variant deconvolution implemented by efficient reduced update filters. Processed images are shown as examples.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.  (Volume:8 )

Date of Conference:

Apr 1983