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DRIP (version 1.7)

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

396

Version

1.7

License

GPL (>= 3)

Maintainer

Yicheng Kang

Last Published

April 6th, 2022

Functions in DRIP (1.7)

diffLC2K

local constant kernel difference
cv.jpex

Bandwidth Selection and Noise Level Estimation
brain

Brain image
circles

Image of circles
dKQ

edge detection, performance measure
diffLCK

local constant kernel difference
JPLLK_surface

Denoising and jump-preserving
diffLLK

local linear kernel difference
diffLL2K

local linear kernel difference
jpex

Blind Image Deblurring
roofEdge

Edge detection, denoising and deblurring
lena

Image of Lena
kid

Image of a kid taking test
modify1

Edge detection, post processing
modify2

Edge detection, post processing
sar

Synthetic aperture radar image of an area near Thetford forest, England
stepEdgeLC2K

Edge detection, denoising and deblurring
roofEdgeParSel

roof/valley edge detection, parameter selection
roofDiff

roof/valley edge detection
peppers

Image of peppers
surfaceCluster

Denoising, deblurring and edge-preserving
surfaceCluster_bandwidth

Denoising, deblurring, bandwidth selection, and edge-preserving
stopsign

Image of Stop Sign
threeStageParSel

image denoising/deblurring, bandwidth selection, bootstrap
threeStage

Denoising, deblurring and edge-preserving
stepEdgeParSelLLK

edge detection, parameter selection
stepEdgeLLK

Edge detection, denoising and deblurring
stepEdgeParSelLC2K

edge detection, parameter selection
stepEdgeLCK

Edge detection, denoising and deblurring
stepEdgeLL2K

Edge detection, denoising and deblurring
stepEdgeParSelLL2K

edge detection, parameter selection
stepEdgeParSelLCK

edge detection, parameter selection