Skip to main navigation
Skip to search
Skip to main content
Hong Kong Baptist University Home
Help & FAQ
Home
Scholars
Departments / Units
Research Output
Projects / Grants
Prizes / Awards
Activities
Press/Media
Student theses
Datasets
Search by expertise, name or affiliation
A dictionary learning approach for Poisson image Deblurring
Liyan Ma
, Lionel Moisan
, Jian Yu
, Tieyong Zeng
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
106
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A dictionary learning approach for Poisson image Deblurring'. Together they form a unique fingerprint.
Sort by:
Weight
Alphabetically
Keyphrases
Image Deblurring
100%
Learning Approaches
100%
Dictionary Learning
100%
Poisson Image
100%
Poisson Noise
100%
Regularization Term
50%
State-of-the-art Techniques
50%
Variational Model
50%
Minimization Problem
50%
Total Variation Regularization
50%
Image Recovery
50%
Alternating Minimization
50%
Visual Quality
50%
Optimization Problem
50%
Patch-based
50%
Maximum a Posteriori
50%
Data Fidelity Term
50%
Sparse Prior
50%
Three-term
50%
Learned Dictionary
50%
Sparse Representation
50%
Method Noise
50%
Medical Image Processing
50%
Ratio Values
50%
Biological Image Processing
50%
Variable Splitting
50%
Pixel-based
50%
Peak Signal to Noise Ratio
50%
Engineering
Experimental Result
100%
State-of-the-Art Method
100%
Regularization
100%
Total Variation
100%
Image Processing
100%
Signal-to-Noise Ratio
100%
Optimisation Problem
100%
Maximum a Posteriori
100%
Dictionary Learning
100%
Peak Signal
100%
Learning Approach
100%
Computer Science
Learning Approach
100%
Sparse Representation
100%
Dictionary Learning
100%
Experimental Result
50%
Regularization Term
50%
Total Variation
50%
Visual Quality
50%
Optimization Problem
50%
Image Processing
50%
peak signal to noise ratio
50%