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DRIP (version 1.9)

Discontinuous Regression and Image Processing

Description

A collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection.

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Version

Install

install.packages('DRIP')

Monthly Downloads

387

Version

1.9

License

GPL (>= 2)

Maintainer

Yicheng Kang

Last Published

February 5th, 2024

Functions in DRIP (1.9)

roofEdgeParSel

roof/valley edge detection, parameter selection
stepEdgeLCK

Edge detection, denoising and deblurring
surfaceCluster

Denoising, deblurring and edge-preserving
roofDiff

roof/valley edge detection
stepEdgeLL2K

Edge detection, denoising and deblurring
stepEdgeLLK

Edge detection, denoising and deblurring
stepEdgeParSelLC2K

edge detection, parameter selection
stepEdgeParSelLCK

edge detection, parameter selection
threeStage

Denoising, deblurring and edge-preserving
threeStageParSel

image denoising/deblurring, bandwidth selection, bootstrap
stepEdgeParSelLL2K

edge detection, parameter selection
stopsign

Image of Stop Sign
stepEdgeParSelLLK

edge detection, parameter selection
surfaceCluster_bandwidth

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

Brain image
circles

Image of circles
jpex

Blind Image Deblurring
diffLC2K

local constant kernel difference
cv.jpex

Bandwidth Selection and Noise Level Estimation
peppers

Image of peppers
sar

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

Image of Lena
kid

Image of a kid taking test
modify2

Edge detection, post processing
diffLLK

local linear kernel difference
modify1

Edge detection, post processing
JPLLK_surface

Denoising and jump-preserving
roofEdge

Edge detection, denoising and deblurring
dKQ

edge detection, performance measure
diffLL2K

local linear kernel difference
diffLCK

local constant kernel difference
stepEdgeLC2K

Edge detection, denoising and deblurring