This, by the same token, establishes a theoretical bridge between the scale space methodology and the multiscale analysis approach. We provide examples to ...

We subsequently propose a solution based on a nonlinear theme of a wavelet frame-based technique. This, by the same token establishes a theoretical bridge ...

ABSTRACT. We address a well known problem of nonlinear image diffusion techniques, namely the loss of texture information. We do so by.

This, by the same token, establishes a theoretical bridge between the scale space methodology and the multiscale analysis approach. We provide examples to ...

This work addresses a well known problem of nonlinear image diffusion techniques, namely the loss of texture information by first determining that it is due ...

This, by the same token establishes a theoretical bridge between the scale space methodology and the multiscale analysis approach. We provide examples to ...

Abstract. We address a weil known problern in nonlinear image diffusion tech- niques, namely a premature loss of texture information. We do so by.

The basic idea is to partition the domain into distinct regions (coarse grain) and determine instantaneous dispersion relations in each region, which ultimately ...

Mar 20, 2024 · We develop a composite neural operator model to unify the analysis of nonlinear bubble dynamics across microscale and macroscale regimes.

We investigate multiscale patterns of the Min protein system and show that our approach enables us to explain and predict the intricate dynamics.