Motion-compensated filtering of time-varying images
Multidimensional Systems and Signal Processing
A nonlinear filter for film restoration and other problems in image processing
CVGIP: Graphical Models and Image Processing
The image processing handbook (2nd ed.)
The image processing handbook (2nd ed.)
Image Sequence Processing and Dynamic Analysis
Image Sequence Processing and Dynamic Analysis
Digital Picture Processing
Linear-quadratic noise-smoothing filters for quantum-limited images
IEEE Transactions on Image Processing
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In this paper the 3D minimumvariance filtering problem is considered. The proposed spatiotemporalfilter is derived according to the assumption that the 3D signalcan be modelled by an ensemble of smooth 3D gaussian random fields.The resulting filtering algorithm is given by an optimal combinationof three 1D estimators and is endowed with an information onthe location about the spatiotemporal discontinuities of thesignal. This allows the filter to conciliate the two oppositerequirements of an effective noise reduction and edge preservation.