Noncausal Vector Linear Prediction Filters
نویسنده
چکیده
A new impulse noise detection technique from gray-scale and multichannel images is presented. It is based on block correlation of the noncausal linear prediction. The linear prediction coefficients are calculated using a block of the image at one instant. These coefficients are valid within that block only and are used to predict a pixel in a sliding window within the block. The sample is predicted from its neighboring pixels, considering past and future values. The current sample is corrupted if its difference from the predicted value is bigger than a pre-defined threshold. Key words: Scalar, Vector, Linear prediction, Threshold, Center–weighted median filter, Vector median filter, noncausal.
منابع مشابه
Forecasting with a noncausal VAR model
We propose simulation-based forecasting methods for the noncausal vector autoregressive model proposed by Lanne and Saikkonen (2012). Simulation or numerical methods are required because the prediction problem is generally nonlinear and, therefore, its analytical solution is not available. It turns out that different special cases of the model call for different simulation procedures. Simulatio...
متن کاملEfficient Implementations of 2-D Noncausal IIR Filters
In this paper, we propose a framework for the efficient implementation of two-dimensional (2-D) noncausal infinite impulse response (IIR) filters, i.e., filter systems described implicitly by difference equations and boundary conditions. A number of common 2-D LSI filter operations, (including lowpass, high-pass, and zero-phase filters), are efficiently realized and implemented in this paper as...
متن کاملSquares Lattice Interpolation Filters
This paper develops a time as well as order update recursion for linear least-squares lattice (LSL) interpolation filters. The LSL interpolation filter has the nice stage-tostage modularity which allows its length to be increased or decreased "two-sidedly" (i.e., both past and future) without affecting the already computed parameters. The LSL interpolation filter is also efficient in computatio...
متن کاملLids - P - 2294 Efficient Implementations of 2 - D Noncausal Iir Filters
In 2-D signal processing, FIR filters are the standard choice for implementing linear shift-invariant (LSI) systems, as they retain all of the advantages of their 1-D counterparts. The same is not true in general for IIR filters. In particular, with the exception of the class of causal recursively computable filters, implementation issues for 2-D IIR filters have received little attention. More...
متن کاملNon-integer expansion embedding techniques for reversible image watermarking
This work aims at reducing the embedding distortion of prediction-error expansion (PE)-based reversible watermarking. In the classical PE embedding method proposed by Thodi and Rodriguez, the predicted value is rounded to integer number for integer prediction-error expansion (IPE) embedding. The rounding operation makes a constraint on a predictor’s performance. In this paper, we propose a non-...
متن کامل