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In depth-based 3D video systems, noisy pixels in depth map always introduce serious geometric distortions in the synthesized virtual view. To remove the noisy pixels, a spatial-temporal depth filter is developed in this paper by utilizing depth and texture information jointly in a spatial-temporal domain. A pixel vector is introduced by jointly considering texture and the corresponding depth value...
Median filter is a well-known nonlinear filter. The key problem of the application of the median filter in image denoising is the selection of the filter window size. A larger filter window of the median filter will enhances its power in suppressing noise but in preserving edges. In this paper, a multiscale median filter is presented. The advantage of this filter is that though a large filter window...
For the time-variant multisensor systems with correlated measurement noises and different measurement matrices, on the basis of recursive least squares (RLS) method, least squares(LS) method and Kalman filtering theory, two information fusion Kalman filters are put forward. The theory is that firstly Cholesky factorization is used to convert the former multisensor systems into noise irrelative and...
Based on the Kalman filtering method and white noise estimation theory, under linear minimum variance information fusion criterion weighted by scalars, a multisensor optimal information fusion white noise deconvolution filter is presented for multisensor systems with system deviation,ARMA colored measurement noise and white noise. The formula of computing cross-covariances among filtering errors of...
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