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Super-resolution image restoration from blurred low-resolution images
Kwok Po NG
*
, Andy C. Yau
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
20
Citations (Scopus)
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Dive into the research topics of 'Super-resolution image restoration from blurred low-resolution images'. Together they form a unique fingerprint.
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Keyphrases
Low Contrast
100%
Image Reconstruction
100%
High-resolution Image
100%
Super-resolution Image
100%
Image Frame
40%
Periodic Boundary Conditions
20%
Estimation Method
20%
Preconditioned Conjugate Gradient Method
20%
Markov Random Field
20%
Fast Fourier Transform
20%
Maximum a Posteriori Estimation
20%
Engineering
Image Restoration
100%
Resolution Image
100%
Low Resolution Image
100%
High Resolution
83%
Periodic Boundary
16%
Boundary Condition
16%
Illustrates
16%
Maximum a Posteriori
16%
Random Field
16%
Conjugate Gradient Method
16%
Noisy Version
16%
Fast Fourier Transform
16%
Mathematics
Boundary Condition
100%
Conjugate Gradient Method
100%
Fast Fourier Transform
100%
Markov Random Fields
100%
Maximum a posteriori estimation
100%
Computer Science
Image Restoration
100%
super resolution
100%
Resolution Image
100%
Low Resolution Image
100%
Boundary Condition
16%
Fast Fourier Transform
16%
Conjugate Gradient Method
16%
Computer Simulation
16%
Earth and Planetary Sciences
Boundary Condition
100%