Results 11 to 20 of about 87,906 (288)

Linear/linear rational spline interpolation

open access: yesMathematical Modelling and Analysis, 2010
For a strictly monotone function y on [a, b] we describe the construction of an interpolating linear/linear rational spline S of smoothness class C 1. We show that for the linear/linear rational splines we obtain ¦S(xi ) − y(xi )¦8 = O(h 4) on uniform ...
Erge Ideon, Peeter Oja
doaj   +5 more sources

Linear Methods for Image Interpolation [PDF]

open access: yesImage Processing On Line, 2011
We discuss linear methods for interpolation, including nearest neighbor, bilinear, bicubic, splines, and sinc interpolation. We focus on separable interpolation, so most of what is said applies to one-dimensional interpolation as well as N-dimensional ...
Pascal Getreuer
doaj   +3 more sources

Linear Interpolation Revitalized [PDF]

open access: greenIEEE Transactions on Image Processing, 2004
We present a simple, original method to improve piecewise-linear interpolation with uniform knots: we shift the sampling knots by a fixed amount, while enforcing the interpolation property. We determine the theoretical optimal shift that maximizes the quality of our shifted linear interpolation.
Thierry Blu   +2 more
openalex   +5 more sources

Non-linear Approximation and Interpolation Spaces

open access: bronzeJournal of Approximation Theory, 2001
The paper studies \(n\)-term wavelet approximation in Besov and Triebel-Lizorkin spaces. In terms of interpolation spaces, the spaces of functions with prescribed degree of \(n\)-term approximation are characterized. Using these results, the author identifies the interpolation spaces between Tribel-Lizorkin and Besov spaces.
George Kyriazis
openalex   +5 more sources

Fast Linear Interpolation [PDF]

open access: yesACM Journal on Emerging Technologies in Computing Systems, 2021
We present fast implementations of linear interpolation operators for piecewise linear functions and multi-dimensional look-up tables. These operators are common for efficient transformations in image processing and are the core operations needed for lattice models like deep lattice networks, a popular machine learning function class for interpretable,
Kevin Robert Canini   +3 more
openaire   +2 more sources

Similarity Analysis of User Trajectories Based on Haversine Distance and Needleman Wunsch Algorithm

open access: yesElkawnie: Journal of Islamic Science and Technology, 2022
: In this paper, we discuss the similarity between two trajectories using the Needleman Wunsch algorithm. The calculation steps are interpolating the trajectory, calculating the distance between the trajectory coordinates, identifying the equivalent ...
Mohammad Jamhuri   +2 more
doaj   +1 more source

Quadratic/linear rational spline interpolation

open access: yesMathematical Modelling and Analysis, 2013
We describe the construction of an interpolating quadratic/linear rational spline S of smoothness class C 2 for a strictly convex (or strictly concave) function y on [a, b].
Erge Ideon, Peeter Oja
doaj   +1 more source

A FAST MORPHING-BASED INTERPOLATION FOR MEDICAL IMAGES: APPLICATION TO CONFORMAL RADIOTHERAPY

open access: yesImage Analysis and Stereology, 2011
A method is presented for fast interpolation between medical images. The method is intended for both slice and projective interpolation. It allows offline interpolation between neighboring slices in tomographic data.
Hussein Atoui   +2 more
doaj   +1 more source

Accuracy of compact-stencil interpolation algorithms for unstructured mesh finite volume solver

open access: yesHeliyon, 2021
This study considers the accuracy of cell-to-face centre interpolation of convected quantities in unstructured finite volume meshes with cell-centred storage of variables.
Adek Tasri, Anita Susilawati
doaj   +1 more source

Video Frame Interpolation Based on Symmetric and Asymmetric Motions

open access: yesIEEE Access, 2023
Video frame interpolation is the task to synthesize intermediate frames between consecutive frames to increase the frame rate. Recently, various deep-learning techniques have been proposed to interpolate intermediate frames more reliably.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
doaj   +1 more source

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