State space realization of a three-dimensional image set with application to noise reduction of fluorescent microscopy images of cells
DOI10.1007/s11045-004-4737-0zbMath1112.94003OpenAlexW2105156038MaRDI QIDQ1777460
Zhiping Lin, Raimund J. Ober, Xuming Lai, E. Sally Ward
Publication date: 17 May 2005
Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11045-004-4737-0
image processingnoise suppressionbalanced realizationfluorescent microscopymulti-dimensional state space realization
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (1)
Cites Work
- Guaranteed stability with subspace methods
- Design and multidimensional separable-denominator digital filters in the spatial domain.
- Decomposition of 2-D separable-denominator systems: Existence, uniqueness, and applications
- Principal component analysis in linear systems: Controllability, observability, and model reduction
- Model reduction via balanced state space representations
- Approximate linear realizations of given dimension via Ho's algorithm
- Approximation of 2-D separable in denominator filters
- A spatial-domain technique for the design of 3-D separable-denominator state-space digital filters
This page was built for publication: State space realization of a three-dimensional image set with application to noise reduction of fluorescent microscopy images of cells