Package: DRIP 2.3

Yicheng Kang

DRIP: Discontinuous Regression and Image Processing

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) <doi:10.1214/aos/1024691468>, Qiu, P. and Yandell, B. (1997) <doi:10.1080/10618600.1997.10474746>, Qiu, P. (2009) <doi:10.1007/s10463-007-0166-9>, Kang, Y. and Qiu, P. (2014) <doi:10.1080/00401706.2013.844732>, Qiu, P. and Kang, Y. (2015) <doi:10.5705/ss.2014.054>, Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) <doi:10.1080/00401706.2017.1415975>, Kang, Y. (2020) <doi:10.1080/10618600.2019.1665536>.

Authors:Yicheng Kang [aut, cre], Peihua Qiu [aut, ctb]

DRIP_2.3.tar.gz
DRIP_2.3.zip(r-4.5)DRIP_2.3.zip(r-4.4)DRIP_2.3.zip(r-4.3)
DRIP_2.3.tgz(r-4.4-x86_64)DRIP_2.3.tgz(r-4.4-arm64)DRIP_2.3.tgz(r-4.3-x86_64)DRIP_2.3.tgz(r-4.3-arm64)
DRIP_2.3.tar.gz(r-4.5-noble)DRIP_2.3.tar.gz(r-4.4-noble)
DRIP.pdf |DRIP.html
DRIP/json (API)

# Install 'DRIP' in R:
install.packages('DRIP', repos = c('https://kangy10.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kangy10/drip/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

5.49 score 31 scripts 507 downloads 4 mentions 16 exports 0 dependencies

Last updated 19 hours agofrom:20c1865d0d. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-win-x86_64OKNov 20 2024
R-4.5-linux-x86_64OKNov 20 2024
R-4.4-win-x86_64OKNov 20 2024
R-4.4-mac-x86_64OKNov 20 2024
R-4.4-mac-aarch64OKNov 20 2024
R-4.3-win-x86_64OKNov 20 2024
R-4.3-mac-x86_64OKNov 20 2024
R-4.3-mac-aarch64OKNov 20 2024

Exports:cv.jpexdKQjpexJPLLK_surfacemodify1modify2roofDiffroofEdgeroofEdgeParSelstepDiffstepEdgestepEdgeParSelsurfaceClustersurfaceCluster_bandwidththreeStagethreeStageParSel

Dependencies:

Discontinuous Regression and Image Processing

Rendered fromDRIP-vignette.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2024-07-20
Started: 2024-07-19

Readme and manuals

Help Manual

Help pageTopics
Brain Imagebrain
Image of Circlescircles
Bandwidth Selection and Noise Level Estimationcv.jpex
Performance Measure of Edge DetectordKQ
Blind Image Deblurringjpex
Jump-Preserving Local Linear Kernel SmoothingJPLLK_surface
Image of a Kidkid
Lena Imagelena
Type-1 Modification Proceduremodify1
Type-2 Modification Proceduremodify2
Image of Pepperspeppers
Plot Parameter Selection Results in JPEX Deblurringplot.JPEX_Parameters
Plot the Residual Image from a JPLLK Estimationplot.JPLLK_Parameters
Plot Parameter Selection Results in Surface Estimationplot.Surface_Cluster_Parameters
Plot Parameter Selection Results in 3-Stage Estimationplot.Three_Stage_Parameters
Print Parameter Selection Results in Edge Detectionprint.Edge_Parameters
Print Parameter Selection Results in JPEX Deblurringprint.JPEX_Parameters
Print Parameter Selection Results in JPLLK Estimationprint.JPLLK_Parameters
Print Parameter Selection Results in Surface Estimationprint.Surface_Cluster_Parameters
Print Parameter Selection Results in 3-Stage Estimationprint.Three_Stage_Parameters
Roof Edge Detection StatisticsroofDiff
Roof Edge DetectorroofEdge
Parameter Selection in Roof Edge DetectionroofEdgeParSel
Synthetic Aperture Radar Imagesar
Step Edge Detection StatisticsstepDiff
Step Edge DetectorstepEdge
Parameter Selection in Step Edge DetectionstepEdgeParSel
Stop Sign Imagestopsign
Summarize Parameter Selection Results in Edge Detectionsummary.Edge_Parameters
Summarize Parameter Selection Results in JPEX Deblurringsummary.JPEX_Parameters
Summarize Parameter Selection Results in JPLLK Estimationsummary.JPLLK_Parameters
Summarize Parameter Selection Results in Surface Estimationsummary.Surface_Cluster_Parameters
Summarize Parameter Selection Results in 3-Stage Estimationsummary.Three_Stage_Parameters
Jump-Preserving Surface Estimation Using Pixel ClusteringsurfaceCluster
Bandwidth Selection for Clustering-Based Surface EstimationsurfaceCluster_bandwidth
Three-Stage Denoising and DeblurringthreeStage
Parameter Selection in Three-Stage Image RestorationthreeStageParSel