Journal of the Japanese Society of Computational Statistics
Online ISSN : 1881-1337
Print ISSN : 0915-2350
ISSN-L : 0915-2350
MULTIVARIATE BAYES REGRESSION MODELS FOR SMOOTHING OF COLOR IMAGES
Saeko Kusanobu
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1998 Volume 11 Issue 1 Pages 55-64

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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.
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© The Japanese Society of Computational Statistics
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