Total Variation Semi-Blind Deconvolution Using Shock Filters
نویسندگان
چکیده
We present a Semi-Blind method for image deconvolution. This method uses a pre-processed image (via the shock filter) as an initial condition for total variation (TV) minimizing blind deconvolution. Using shock filter gives good information on location of the edges, and using variational functional such as Chan and Wong [T.F. Chan and C.K. Wong, Total variation blind deconvolution, IEEE Trans Image Process 7 (1998), 370-375] allows robust reconstructions of the image and the blur kernel. Comparison between using the L and L norms for the fidelity term is presented, as well as an analysis on the choice of the parameter for the kernel functional. Numerical results indicate the method is robust for both black and non-black background images while reducing the overall computational cost.
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