Abstract

We address the problem of noise smoothing in image restoration. We introduce several normed derivative constraints and compute their associated projectors. Several image-restoration algorithms that use these constraints, among others, are proposed. The issue of set closure is addressed, and it is shown that sets incorporating bounds on derivative norms are closed in L².

© 1992 Optical Society of America

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