Image resizing is a basic tool in image processing, and in literature, we have many methods
based on different approaches, which are often specialized in only upscaling or …

We present a new image scaling method both for downscaling and upscaling, running with
any scale factor or desired size. The resized image is achieved by sampling a bivariate …

The paper concerns the weighted Hilbert transform of locally continuous functions on the
semiaxis. By using a filtered de la Vallée Poussin type approximation polynomial recently …

On the half line, we introduce a new sequence of near-best uniform approximation
polynomials, easily computable by the values of the approximated function at a truncated …

In order to solve Prandtl-type equations we propose a collocation-quadrature method based
on de la Vallée Poussin (briefly VP) filtered interpolation at Chebyshev nodes. Uniform …

We are concerned with the uniform approximation of functions of a generic reproducing
kernel Hilbert space (RKHS). In this general context, classical approximations are given by …

The present paper concerns filtered de la Vall\'ee Poussin (VP) interpolation at the
Chebyshev nodes of the four kinds. This approximation model is interesting for applications …

The paper deals with the numerical solution of Cauchy Singular Integral Equations based on
some non standard polynomial quasi–projection of de la Vallée Poussin type. Such kind of …

A product quadrature rule, based on the filtered de la Vallée Poussin polynomial
approximation, is proposed for evaluating the finite weighted Hilbert transform in [− 1, 1] …

Approximation theory plays a central role in numerical analysis, undergoing continuous
evolution through a spectrum of methodologies. Notably, Lebesgue, Weierstrass, Fourier …