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Quantitative analysis of artifacts in linear space-invariant image restoration

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Abstract

Several image restoration algorithms exist in the literature ranging from deterministic iterative techniques to optimum recursive methods. Unfortunately, all these algorithms produce undesirable artifacts in the process of undoing the degradations because of the ill-posed nature of the image restoration problem. This paper provides a complete quantitative analysis of different artifacts caused by linear shift-invariant (LSI) image restoration methods. The aim of this paper is to mathematically show how these artifacts originate in the general case of an arbitrary blur point spread function and an arbitrary LSI restoration filter, and then to study the characteristics of these artifacts in the special cases of uniform motion blur and out-of-focus blur via experimental analysis. Several pictures that illustrate these artifacts are presented. We discuss strategies for the suppression of these artifacts based on the analysis provided.

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Authors and Affiliations

  1. Electrical Engineering Department, University of Rochester, 14627, Rochester, New York

    A. Murat Tekalp

  2. Imaging Science Laboratory, Research Laboratories, Eastman Kodak Company, 14650-1816, Rochester, New York

    M. Ibrahim Sezan

Authors
  1. A. Murat Tekalp
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  2. M. Ibrahim Sezan
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Additional information

This paper is based upon research performed under NSF grants MIP-8809291 and CDA-8820693, and Grant No. 88-IJ-CX-0038 from the National Institute of Justice to the University of Rochester.

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Tekalp, A.M., Sezan, M.I. Quantitative analysis of artifacts in linear space-invariant image restoration. Multidim Syst Sign Process 1, 143–177 (1990). https://doi.org/10.1007/BF01816547

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  • DOI: https://doi.org/10.1007/BF01816547

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