SmoothImage: Image Smoothing Via Regression Modeling

In matloff/SmoothImage: Image Smoothing Via Regression Modeling

Description

Use of regression models to ameliorate imperfections in color images. Option to choose percentage of original image to retain. Usage of k-NN with default at 1 and option to increase k.

Usage

    #"main" right now, change to smoothimage later?
    main(img, k, alpha)

Arguments

img	Black and white or colored image, convert to ppm format, read with pixmap package - "read.pnm(img)"
k	Number of nearest neighbors
alpha	Percentage of original image to retain (0.0 - 1.0)

Details

#talk about stuff Talk about the stuff in general

Value

#what it will be outputted as The return value of main is a smoothed out ppm image.

Author(s)

Norm Matloff <[e-mail]>, Jessica Tsoi <[e-mail]>

Examples

    # to be continued

matloff/SmoothImage documentation built on May 8, 2019, 8:35 a.m.