Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Directional multiscale modeling of images using the contourlet transform
Duncan D.Y. Po,
Minh N. Do
Electrical and Computer Engineering
Bioengineering
Coordinated Science Lab
Beckman Institute for Advanced Science and Technology
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Grainger College of Engineering
Biomedical and Translational Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Directional multiscale modeling of images using the contourlet transform'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Experimental Result
100%
Mutual Information
100%
de-noising
100%
Visual Quality
100%
Marginal Distribution
100%
Wavelet Transforms
100%
Gaussian Random Variable
100%
Filter Bank
100%
Joint Distribution
100%
Distribution Information
100%
Gaussian Mixture
100%
image denoising
100%
Keyphrases
Contourlet
100%
Contourlet Transform
100%
Multiscale Modeling
100%
Image-based
33%
Interdirection
33%
Natural Images
33%
Texture Image Retrieval
33%
Interscale
33%
Interlocation
33%
Aspect Ratio
16%
Two Dimensional
16%
Wavelet Transform
16%
Histogram
16%
Image Texture
16%
Non-Gaussian
16%
Mutual Information
16%
Image Denoising
16%
Dominant Features
16%
Visual Quality
16%
Denoising
16%
Joint Distribution
16%
Gaussian Mixture
16%
Wavelet Basis
16%
Marginal Distribution
16%
Neighboring Coefficients
16%
Directional Filter Bank
16%
Multi-scale Filter Bank
16%
Dimensional Extension
16%
Distribution Information
16%
Hidden Markov Tree Model
16%
Hidden Markov Tree
16%
Oriented Texture
16%
Gaussian Random Variable
16%
Mathematics
Gaussian Distribution
100%
Statistics
100%
Natural Image
100%
Edge
50%
Wavelet Transforms
50%
Wavelet
50%
Aspect-Ratio
50%
Marginals
50%
Mutual Information
50%
Joint Distribution
50%
Histogram
50%
Gaussian Random Variable
50%
Marginal Distribution
50%