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– Interpolation artifacts

by Doug James
"... or “blend shapes” Widely used for facial animation Sliders control shape contributions ..."
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or “blend shapes” Widely used for facial animation Sliders control shape contributions

Interpolation artifacts in biomedical image registration

by G. K. Rohde, D. M. Healy, C. A. Berenstein, A. Aldroubi - in Proceedings of the Fourth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI’07
"... We identify a cause for interpolation artifacts in objective functions by observing that the energy of interpolated and translated 2 sequences oscillates with respect to the transla-tion parameter. Using the B-spline interpolation framework, we show that such oscillations in the energy of the signal ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
We identify a cause for interpolation artifacts in objective functions by observing that the energy of interpolated and translated 2 sequences oscillates with respect to the transla-tion parameter. Using the B-spline interpolation framework, we show that such oscillations in the energy

Reducing Interpolation Artifacts by Globally Fairing Contours

by Martin Bertram, Hans Hagen
"... Summary. We propose an iterative fairing method for scalar fields reducing the artifacts of bi- and trilinear interpolation. Our method reconstructs a two-dimensional scalar field from interpolation constraints optimizing the smoothness of its contours (isolines) based on variational principles. It ..."
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Summary. We propose an iterative fairing method for scalar fields reducing the artifacts of bi- and trilinear interpolation. Our method reconstructs a two-dimensional scalar field from interpolation constraints optimizing the smoothness of its contours (isolines) based on variational principles

Interpolation Artifacts in Multimodality Image Registration Based on Maximization

by unknown authors
"... permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the authors ’ products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for c ..."
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permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the authors ’ products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Submitted: 2011-08-08 Accepted: 2011-11-24 Reducing Interpolation Artifacts for Mutual Information Based Image Registration

by H. Soleimani, M. A. Khosravifard
"... Medical image registration methods which use mutual information as similarity measure have been improved in recent decades. Mutual Information is a basic concept of Information theory which indicates the dependency of two random variables (or two images). In order to evaluate the mutual information ..."
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of two images their joint probability distribution is required. Several interpolation methods, such as Partial Volume (PV) and bilinear, are used to estimate joint probability distribution. Both of these two methods yield some artifacts on mutual information function. Partial Volume-Hanning window (PVH

Interpolation revisited

by Thierry Blu, Michael Unser - IEEE Transactions on Medical Imaging , 2000
"... Abstract—Based on the theory of approximation, this paper presents a unified analysis of interpolation and resampling techniques. An important issue is the choice of adequate basis functions. We show that, contrary to the common belief, those that perform best are not interpolating. By opposition to ..."
Abstract - Cited by 198 (33 self) - Add to MetaCart
to traditional interpolation, we call their use generalized interpolation; they involve a prefiltering step when correctly applied. We explain why the approximation order inherent in any basis function is important to limit interpolation artifacts. The decomposition theorem states that any basis function endowed

Interpolating Subdivision for Meshes with Arbitrary Topology

by Denis Zorin, Peter Schröder, Wim Sweldens
"... Subdivision is a powerful paradigm for the generation of surfaces of arbitrary topology. Given an initial triangular mesh the goal is to produce a smooth and visually pleasing surface whose shape is controlled by the initial mesh. Of particular interest are interpolating schemes since they match the ..."
Abstract - Cited by 236 (24 self) - Add to MetaCart
Subdivision is a powerful paradigm for the generation of surfaces of arbitrary topology. Given an initial triangular mesh the goal is to produce a smooth and visually pleasing surface whose shape is controlled by the initial mesh. Of particular interest are interpolating schemes since they match

Example-based super-resolution

by William T. Freeman, Thouis R. Jones, Egon C. Pasztor - IEEE COMPUT. GRAPH. APPL , 2001
"... The Problem: Pixel representations for images do not have resolution independence. When we zoom into a bitmapped image, we get a blurred image. Figure 1 shows the problem for a teapot image, rich with real-world detail. We know the teapot’s features should remain sharp as we zoom in on them, yet sta ..."
Abstract - Cited by 349 (5 self) - Add to MetaCart
standard pixel interpolation methods, such as pixel replication (b, c) and cubic spline interpolation (d, e), introduce artifacts or blurring of edges. For images zoomed 3 octaves, such as these, sharpening the interpolated result has little useful effect (f, g). Many applications in graphics or image

Color plane interpolation using alternating projections

by Bahadir K. Gunturk, Student Member, Yucel Altunbasak, Senior Member, Russell M. Mersereau - IEEE Trans. Image Processing , 2002
"... Abstract—Most commercial digital cameras use color filter arrays to sample red, green, and blue colors according to a specific pattern. At the location of each pixel only one color sample is taken, and the values of the other colors must be interpolated using neighboring samples. This color plane in ..."
Abstract - Cited by 178 (5 self) - Add to MetaCart
interpolation is known as demosaicing; it is one of the important tasks in a digital camera pipeline. If demosaicing is not performed appropriately, images suffer from highly visible color artifacts. In this paper we present a new demosaicing technique that uses inter-channel correlation effectively

Image Interpolation and Resampling

by Philippe Thevenaz, Thierry Blu, Michael Unser - HANDBOOK OF MEDICAL IMAGING, PROCESSING AND ANALYSIS , 2000
"... This chapter presents a survey of interpolation and resampling techniques in the context of exact, separable interpolation of regularly sampled data. In this context, the traditional view of interpolation is to represent an arbitrary continuous function as a discrete sum of weighted and shifted syn ..."
Abstract - Cited by 81 (11 self) - Add to MetaCart
the performance of each synthesis function. We also highlight several artifacts that may arise when performing interpolation, such as ringing, aliasing, blocking and blurring. We explain why the approximation order inherent in the synthesis function is important to limit these interpolation artifacts, which
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