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DRIP (version 2.0)

Discontinuous Regression and Image Processing

Description

A collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection. The implemented methods are based on the following research: Qiu, P. (1998) , Qiu, P. and Yandell, B. (1997) , Qiu, P. (2009) , Kang, Y. and Qiu, P. (2014) , Qiu, P. and Kang, Y. (2015) , Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) , Kang, Y. (2020) .

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Version

Install

install.packages('DRIP')

Monthly Downloads

506

Version

2.0

License

GPL (>= 2)

Maintainer

Last Published

May 12th, 2024

Functions in DRIP (2.0)

stepDiff

Step Edge Detection Statistics
roofEdgeParSel

Parameter Selection in Roof Edge Detection
surfaceCluster_bandwidth

Bandwidth Selection for Clustering-Based Surface Estimation
threeStage

Three-Stage Denoising and Deblurring
threeStageParSel

Parameter Selection in Three-Stage Image Restoration
brain

Brain Image
modify1

Type-1 Modification Procedure
cv.jpex

Bandwidth Selection and Noise Level Estimation
modify2

Type-2 Modification Procedure
jpex

Blind Image Deblurring
lena

Lena Image
JPLLK_surface

Jump-Preserving Local Linear Kernel Smoothing
dKQ

Performance Measure of Edge Detector
roofEdge

Roof Edge Detector
stepEdgeParSel

Parameter Selection in Step Edge Detection
roofDiff

Roof Edge Detection Statistics
surfaceCluster

Jump-Preserving Surface Estimation Using Pixel Clustering
stepEdge

Step Edge Detector
sar

Synthetic Aperture Radar Image
kid

Image of a Kid
circles

Image of Circles
peppers

Image of Peppers
stopsign

Stop Sign Image