Parametric Blur Estimation Using the Generalized Cross-ValidationCriterion and a Smoothness Constraint on the Image

Authors:
S. Chardon;B. Vozel;K. Chehdi
Affiliations:
ENSSAT - LASTI - BP 447 22305 LANNION Cedex - FRANCE;ENSSAT - LASTI - BP 447 22305 LANNION Cedex - FRANCE;ENSSAT - LASTI - BP 447 22305 LANNION Cedex - FRANCE
Venue:
Multidimensional Systems and Signal Processing
Year:
1999

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Abstract

Parametricblur estimation is proposed using theGeneralized Cross-Validation Criterion (GCV) and a smoothnessconstraint on the image. This approach bypasses the need to identifythe image AR parameters. The blur synthesis domains that maybe used in the GCV criterion are compared experimentally. Thecriterion is then applied, in a myopic scheme, on blurred andunblurred images. Results with synthetic and real blurs are discussed.