The Pp-tsvd Algorithm for Image Restoration Problems
نویسندگان
چکیده
The PP-TSVD algorithm is a regularization algorithm based on the truncated singular value decomposition (TSVD) that computes piecewise polynomial (PP) solutions without any a priori information about the locations of the break points. Here we describe an extension of this algorithm designed for two-dimensional inverse problems based on a Kronecker-product formulation. We illustrate its use in connection with deblurring of digital images with sharp edges, and we discuss its relations to total variation regularization.
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