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DRIP (version 1.6)

Discontinuous Regression and Image Processing

Description

This is a collection of functions for discontinuous regression analysis and image processing (DRIP). This version removes the dependence on the GNU Scientific Library.

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Version

Install

install.packages('DRIP')

Monthly Downloads

387

Version

1.6

License

GPL (>= 3)

Maintainer

Yicheng Kang

Last Published

September 22nd, 2020

Functions in DRIP (1.6)

Denoising and jump-preserving

Image of a kid taking test

Blind Image Deblurring

Edge detection, denoising and deblurring

local linear kernel difference

roof/valley edge detection, parameter selection

local constant kernel difference

local constant kernel difference

edge detection, performance measure

stepEdgeParSelLLK

edge detection, parameter selection

Bandwidth Selection and Noise Level Estimation

Edge detection, post processing

Image of circles

local linear kernel difference

stepEdgeParSelLCK

edge detection, parameter selection

Image of Stop Sign

stepEdgeParSelLL2K

edge detection, parameter selection

Edge detection, denoising and deblurring

Image of peppers

roof/valley edge detection

Edge detection, denoising and deblurring

Synthetic aperture radar image of an area near Thetford forest, England

Edge detection, denoising and deblurring

Edge detection, post processing

stepEdgeParSelLC2K

edge detection, parameter selection

threeStageParSel

image denoising/deblurring, bandwidth selection, bootstrap

Denoising, deblurring and edge-preserving

Edge detection, denoising and deblurring

Denoising, deblurring and edge-preserving

surfaceCluster_bandwidth

Denoising, deblurring, bandwidth selection, and edge-preserving