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Periodic spline-based frames for image restoration
Amir Averbuch
, Pekka Neittaanmäki
, Valery Zheludev
School of Computer Science and AI
University of Jyväskylä
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'Periodic spline-based frames for image restoration'. Together they form a unique fingerprint.
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Keyphrases
Image Reconstruction
100%
Filter Bank
100%
Periodic Splines
100%
Vanishing Moments
100%
Framelet
75%
Tight
50%
Design Scheme
50%
Low-pass Filter
50%
Tight Frame
50%
Discrete-time
25%
Computational Complexity
25%
Iterative Methods
25%
Linear Phase
25%
Digital Camera
25%
Impulse Response
25%
Random Noise
25%
Four-channel
25%
Imaging Applications
25%
Perfect Reconstruction
25%
Periodic Signal
25%
Bandpass Filter
25%
Signal Space
25%
Interpolation Polynomial
25%
Polynomial Splines
25%
Hyperspectral Imager
25%
High-pass Filter
25%
Magnitude Response
25%
Periodic Filter
25%
Inverse FFT
25%
Discrete Spline
25%
Split Bregman Iteration
25%
Missing pixels
25%
Framelet Transform
25%
Engineering
Image Restoration
100%
Filter Banks
100%
Lowpass Filter
50%
Scheme Design
50%
Computational Complexity
25%
Linear Phase
25%
Potential Application
25%
Discrete Time
25%
Periodic Signal
25%
Bandpass Filter
25%
Signal Space
25%
Magnitude Response
25%
Interpolating Polynomial
25%
Periodic Filter
25%
Perfect Reconstruction
25%
High Pass Filter
25%
Filter Impulse Response
25%
Digital Camera
25%
Mathematics
Spline
100%
Framelets
100%
Tight Frame
50%
Low-Pass Filter
50%
Polynomial
25%
Discrete Time
25%
Impulse Response
25%
Finite Fourier Transform
25%
Linear Phase
25%
Iteration Method
25%
Periodic Signal
25%
High-Pass Filter
25%
Band-Pass Filter
25%
Random Noise
25%