In this paper, a method for the reduction of blocking eeect in image sequences coded at very low bitrate is presented. The proposed operator is capable of adapting its behaviour to the local characteristics of the images. In areas containing details, the degradation introduced by block-based coding is often masked by the texture itself and a satisfactory visual eeect can be achieved by simply l...

This paper presents region-based super-resolution reconstruction approach using a parallel programming for minimizing interpolation artifacts. In the proposed algorithm of regularized iterative SR, two different types of constraints are incorporated, namely (i) edge reconnection and (ii) orientation adaptive filtering. By combining these two constraints the proposed SR algorithm can successfull...

An algorithm of approximation for discrete initial numerical flow f by the first order splines, associated with the adaptive grid, is proposed. Quantitative evaluations for volumes of using data are obtained under different characteristics of regularity of initial flow. Limit characteristics of mentioned volumes are represented. Difference representations for deviation of data flow from approxi...

The drawback of indirect multi-step-ahead prediction is error accumulation. In order to tackle this problem and improve the capacity of adaptive time delay neural network (ATNN) for prediction, a three-stage prediction model SATNN based on spline interpolation and ATNN is presented. With spline interpolation and ATNN, the impact of last prediction errors that would be iterated into the model fo...

Calculations of the specific heat and magnetization of quenched, site‐diluted, N×N square and triangular Ising lattices have been carried out by a Monte Carlo method. For spin concentrations x of 0.8 and 0.9, lattices of size N=64 did not give sharp transitions. For a triangular lattice with N=128 and x=0.904, we found a well‐defined peak in the specific heat and an abrupt change in the magneti...

An algebraic multigrid (AMG) method is presented for the calculation of the stationary probability vector of an irreducible Markov chain. The method is based on standard AMG for nonsingular linear systems, but in a multiplicative, adaptive setting. A modified AMG interpolation formula is proposed that produces a nonnegative interpolation operator with unit row sums. We show how the adoption of ...

Based on constrained least squares approximation and techniques from computational geometry, this paper shall provide a new approximation scheme which achieves to combine well-known features from radial basis function interpolation with recent developments concerning scattered data filtering. The suggested method is shown to be well-posed, and moreover by using local error estimates from radial...

—In this paper a region-adaptive demosaicking algorithm with low computational complexity for single-sensor digital cameras is proposed. The proposed algorithm firstly divides the input image into two kinds of regions and then adopts different interpolation methods for each type. The proposed interpolation method makes full use of bilinear’s fast execution speeds in the smooth region. And it d...

In this paper we present a voicing controlled, speech parameter based frame loss concealment for frames that have been encoded with the Adaptive Multi-Rate (AMR) speech codec. The missing parameters are estimated by interpolation and extrapolation techniques that are chosen in dependence of the voicing state of the speech frames preceding and following the lost frames. The voicing controlled co...

This work proposes a predictive controller with interpolation in order to improve the behaviour of a typical MPC when the system presents constraints. Particularly, it is interesting to see how the interpolation, between the solution of the optimal unconstrained problem and other feasible solutions, assures the stability of the system in presence of disturbances. The system in which the control...