MULTIVARIATE BAYES REGRESSION MODELS FOR SMOOTHING OF COLOR IMAGES

Abstract

We propose a smoothing method for color images based on multivariate Bayes models. This method simultaneously smoothes the images of red, green and blue lights while taking into account their correlations. The performance of the color smoothing technique is applied to test images and the Landsat TM data. We compare the multivariate smoothing with some other techniques which remove noise in monochrome images.

Journal

Journal of the Japanese Society of Computational Statistics   [List of Volumes]

Journal of the Japanese Society of Computational Statistics 11(1), 55-64, 1998-12  [Table of Contents]

Japanese Society of Computational Statistics

References:  5

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Codes

  • NII Article ID (NAID) :
    110001235565
  • NII NACSIS-CAT ID (NCID) :
    AA10823693
  • Text Lang :
    ENG
  • Article Type :
    ART
  • ISSN :
    09152350
  • Databases :
    CJP  NII-ELS 

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