IMAGE ENHANCEMENT BY STOCHASTIC HOMOMORPHIC FILTERING.

R. W. Fries, J. W. Modestino

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

Stochastic image models described and analyzed previously by the authors are used to model the true image and interfering components (shadows and salt-and-pepper noise). The problem of designing the linear operation can then be formulated as one of linear least mean-squared error (Wiener) filtering. Examples of processing on typical real-world images are included to indicate the results obtainable.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
Place of PublicationNew York, NY
PublisherIEEE (79CH1379-7 ASSP)
Pages650-655
Number of pages6
StatePublished - Jan 1 1979
EventRec IEEE Int Conf Acoust Speech Signal Process 4th (ICASSP '79) - Washington, DC, USA
Duration: Apr 2 1979Apr 4 1979

Other

OtherRec IEEE Int Conf Acoust Speech Signal Process 4th (ICASSP '79)
CityWashington, DC, USA
Period4/2/794/4/79

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Fries, R. W., & Modestino, J. W. (1979). IMAGE ENHANCEMENT BY STOCHASTIC HOMOMORPHIC FILTERING. In Unknown Host Publication Title (pp. 650-655). IEEE (79CH1379-7 ASSP).