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Communication theoretic image restoration for binary-valued imagery.

M A Neifeld1, R Xuan, M W Marcellin

  • 1Department of Electrical and Computer Engineering, Optical Sciences Center, University of Arizona Tucson, Arizona 85721, USA. neifeld@ece.arizona.edu

Applied Optics
|March 14, 2008
PubMed
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A new Viterbi-based algorithm enhances binary image restoration by using a trellis search. This method achieves superior visual quality and lower bit error rates compared to traditional Wiener filtering.

Area of Science:

  • Digital Image Processing
  • Signal Processing
  • Computer Vision

Background:

  • Binary-valued imagery restoration is crucial in various applications.
  • Existing methods like Wiener filtering have limitations in performance.
  • The Viterbi algorithm is effective for binary data detection.

Purpose of the Study:

  • To introduce a novel image restoration algorithm for binary imagery.
  • To leverage a trellis-based search exploiting the finite alphabet of binary images.
  • To achieve maximum-likelihood solutions for improved image restoration.

Main Methods:

  • A blockwise, row-by-row restoration approach for 2D imagery.
  • Utilizing a trellis-based search inspired by the Viterbi algorithm.
  • Incorporating a priori knowledge of pixel correlation via trellis transition probabilities.

Related Experiment Videos

Main Results:

  • The Viterbi-based algorithm demonstrates superior performance over Wiener filtering.
  • Significant improvements observed in both bit error rate and visual quality.
  • Analysis of algorithmic choices, complexity reduction, and trade-offs.

Conclusions:

  • The proposed Viterbi-based algorithm offers a powerful new tool for binary image restoration.
  • The method effectively handles noise and intersymbol interference in binary imagery.
  • The approach provides a flexible framework adaptable to different image characteristics.