Abstract: The problem of estimating the centre of symmetry of an unknown periodic function observed in Gaussian white noise is considered. Using the penalized blockwise James-Stein method, a smoothing filter allowing to define the penalized profile likelihood is proposed. The estimator of the centre of symmetry is then the maximizer of this penalized profile likelihood. This estimator is shown ...

Since depth-image-based rendering (DIBR) is one of the rendering processes to generate virtual views from the texture image and the depth map, we investigate DIBR as a core technique for threedimensional television. In this paper, we propose a new scheme to generate multi-view images using DIBR. In order to improve visual quality of multiview images at newly exposed areas, we preprocess the dep...

Abstract: The problem of estimating the centre of symmetry of an unknown periodic function observed in Gaussian white noise is considered. Using the penalized blockwise Stein method, a smoothing filter allowing to define the penalized profile likelihood is proposed. The estimator of the centre of symmetry is then the maximizer of this penalized profile likelihood. This estimator is shown to be ...

We address p-shift finite impulse response optimal (OFIR) and unbiased (UFIR) algorithms for predictive filtering (p > 0), filtering (p = 0), and smoothing filtering (p < 0) at a discrete point n over N neighboring points. The algorithms were designed for linear time-invariant state-space signal models with white Gaussian noise. The OFIR filter self-determines the initial mean square state func...

Speech recognition using articulatory features estimated using Acoustic-to-Articulatory Inversion (AAI) is considered. A recently proposed sparse smoothing approach is used to postprocess the estimates from Gaussian Mixture Model (GMM) based AAI using MinimumMean Squared Error (MMSE) criterion. It is well known that low-pass smoothing as post-processing improves the AAI performance. Sparse smoo...

A robust estimator, namely M -smoother, for piecewise-constant smoothing is revisited in this paper. Starting from its generalized formulation, we propose a numerical scheme/framework for solving it via a series of weighted-average filtering (e.g., box filtering, Gaussian filtering, bilateral filtering, and guided filtering). Because of the equivalence between M -smoother and local-histogrambas...

The Savitzky–Golay (SG) filters are generally used for smoothing and differentiation in many fields. The properties of the SG smoothing filters have been well studied. However, the properties of the SG differentiation filters or SG digital differentiators (SGDD, for the first order differentiation) are not developed well somehow, although they have been widely used. In the paper, the properties...

Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through unsharp masking algorithm. In this paper, we develop a new type of filter which performs smoothing or via tuning parameter. development based on (1) Laplacian-based formulation unifies operations, (2) patch interpolation model similar that used in guided provides edge-aw...

In this work we present a new approach to two dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based image processing algorithms it takes into consideration spatial relations between picture elements. The contribution of the sample to the model depends not only on the current residual of that sample, but also on the neig...