Linear Filtering
Linear Filtering is a signal processing technique that modifies an image by applying a spatially invariant weighted sum of pixel intensities, where the weights are defined by a fixed kernel, ensuring the filtering operation satisfies the principle of superposition.
821
Publications
59K
Citations
1.7K
Authors
709
Institutions
Publications per year
2017–2026
71
Parents
821
New Results in Linear Filtering and Prediction Theory
R. E. Kalman, R. S. Bucy · Journal of Basic Engineering · 1961 · 6.3K citations
Jaakko Astola, P. Haavisto, Y. Neuvo · Proceedings of the IEEE · 1990 · 1.1K citations
Statistics of natural images: Scaling in the woods
Daniel Ruderman, William Bialek · Physical Review Letters · 1994 · 945 citations
B-spline signal processing. I. Theory
Michaël Unser, Akram Aldroubi, M. Eden · IEEE Transactions on Signal Processing · 1993 · 927 citations
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709
Massachusetts Institute of Technology
Cambridge, United States
16 h-index
36 publications
3.4K citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
24 publications
2.2K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
33 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
13 h-index
28 publications
5K citations
Stanford University
Stanford, United States
12 h-index
25 publications
3.2K citations
University of Delaware
Newark, United States
12 h-index
25 publications
885 citations

Imperial College London
London, United Kingdom
10 h-index
20 publications
781 citations

University of Trieste
Trieste, Italy
10 h-index
15 publications
437 citations
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56 publications · 4K citations
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24 publications · 1.7K citations
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18 publications · 3.4K citations
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17 publications · 1.6K citations
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16 publications · 417 citations
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