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Image restoration using fast modified reduced update Kalman filter
Wen-Rong Wu
*
, Amlan Kundu
*
Corresponding author for this work
Department of Electrical and Computer Engineering
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peer-review
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Dive into the research topics of 'Image restoration using fast modified reduced update Kalman filter'. Together they form a unique fingerprint.
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Keyphrases
Image Reconstruction
100%
Kalman Filter
100%
Computational Complexity
25%
Additive Noise
25%
Spatial Filtering
25%
Edge Preserving
25%
Gaussian Process
25%
Function Approach
25%
Non-Gaussian Noise
25%
Score Function
25%
Detail-preserving
25%
Engineering
Kalman Filter
100%
Image Restoration
100%
Gaussians
25%
Computational Complexity
25%
Additive Noise
25%
Filtration
25%
Spatial Filter
25%
Dimensionality
25%
Non-Gaussian Noise
25%
Score Function
25%
Computer Science
Kalman Filter
100%
Image Restoration
100%
Computational Complexity
25%
Non-Gaussian Noise
25%
Score Function
25%
Mathematics
Kalman Filtering
100%
Variance
50%
Edge
25%
Gaussian Process
25%
score function ψ
25%
Additive Noise
25%
Random Noise
25%