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Image Deconvolution Ringing Artifact Detection and Removal via PSF Frequency Analysis
Ali Mosleh1, J.M. Pierre Langlois1, and Paul Green2
1École Polytechnique de Montréal, Canada
ali.mosleh@polymtl.ca
pierre.langlois@polymtl.ca
2Algolux, Canada
paul.green@algolux.com
Abstract. We present a new method to detect and remove ringing artifacts produced by the deconvolution process in image deblurring techniques. The method takes into account non-invertible frequency components of the blur kernel used in the deconvolution. Efficient Gabor wavelets are produced for each non-invertible frequency and applied on the deblurred image to generate a set of filter responses that reveal existing ringing artifacts. The set of Gabor filters is then employed in a regularization scheme to remove the corresponding artifacts from the deblurred image. The regularization scheme minimizes the responses of the reconstructed image to these Gabor filters through an alternating algorithm in order to suppress the artifacts. As a result of these steps we are able to significantly enhance the quality of the deblurred images produced by deconvolution algorithms. Our numerical evaluations using a ringing artifact metric indicate the effectiveness of the proposed deringing method.
Keywords: deconvolution, image deblurring, point spread function, ringing artifacts, zero-magnitude frequency
LNCS 8692, p. 247 ff.
lncs@springer.com
© Springer International Publishing Switzerland 2014