Advances in multiresolution and subdivision techniques and its applications

Advances in multiresolution and subdivision techniques and its applications

Advances in multiresolution and subdivision techniques and its applications

Organizers: Yáñez Avendaño, Dionisio F. (Departamento de Matemáticas, U. Valencia), Ruiz, Juan (Departamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena), Trillo, Juan Carlos (Departamento de Matemática Aplicada y estadística, Universidad Politécnica de Cartagena)

Abstract

Multiresolution and subdivision techniques are used in several applications as computer aided design and image processing. For instance, Harten's multiresolution framework allows to design new methods based on linear and non-linear reconstruction techniques. In nonlinear subdivision schemes, crucial questions such as convergence and stability of the schemes, order of approximation, preservation of monotonicity or convexity, and elimination of Gibbs effects near jump discontinuities need to be studied with specific techniques. In turn, subdivision schemes and their properties play an important role in order to construct and study new multiresolution schemes. The selected talks will deal with these issues.

Keywords: multiresolution; subdivision; image processing

Session 5: Tuesday, 18:00-20:00. Room B1.

Chair: Trillo, Juan Carlos (Universidad Politécnica de Cartagena)

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Speaker

Organization

Contribution title

Magreñan, Alberto

Universidad de La Rioja

Non tensor product reconstructions in 2D. Applications to subdivision and multiresolution schemes

Ruiz, Juan

Universidad Politécnica de Cartagena

On how to adapt splines to the presence of discontinuities

Trillo, Juan Carlos

Universidad Politécnica de Cartagena

On the PPH nonlinear subdivision and multiresolution schemes for non uniform meshes

Yáñez Avendaño, Donisio F.

Universidad de Valencia

Subdivision schemes based on local polynomial regression

López-Ureña, Sergio

Universidad de Valencia

Design of non-linear filters for piecewise smooth data affected by noise

 

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