MULTIVARIATE BAYES REGRESSION MODELS FOR SMOOTHING OF COLOR IMAGES
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概要
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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.
- 日本計算機統計学会の論文