Image reconstruction using the Viterbi algorithm

C. Miller, B. R. Hunt, M. A. Neifeld, M. W. Marcellin

Research output: Contribution to conferencePaperpeer-review


Many systems in widespread use concentrate on the imaging of binary objects, e.g., the archival storage of text documents on microfilm or the facsimile transmission of text. Due to the imperfect nature of such systems, the binary image is unavoidably corrupted by blur and noise to form a grey-scale image. We present a technique to reverse this degradation which maps the binary object reconstruction problem into a Viterbi state-trellis. We assign states of the trellis to possible outcomes of the reconstruction estimate and search the trellis in the usual optimal fashion. Our method yields superior estimates of the original binary object over a wide range of signal-to-noise ratios (SNR) when compared with conventional Wiener filter (WF) estimates. For moderate blur and SNR levels, the estimates produced approach the maximum likelihood (ML) bound on estimation performance.

Original languageEnglish (US)
Number of pages4
StatePublished - 1998
EventProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation - Tucson, AZ, USA
Duration: Apr 5 1998Apr 7 1998


OtherProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation
CityTucson, AZ, USA

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications


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