Skip to main navigation Skip to search Skip to main content

An Axiomatic approach to image interpolation

  • Vicent Caselles*
  • , Jean-Michel Morel
  • , Catalina Sbert
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We discuss possible algorithms for interpolating data given in a set of curves and/or points in the plane. We propose a set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations. The Absolute Minimal Lipschitz Extension model (AMLE) is singled out and studied in more detail. We show experiments suggesting a possible application, the restoration of images with poor dynamic range. © 1998 IEEE
Original languageEnglish
Title of host publicationProceedings International Conference On Image Processing
Subtitle of host publicationOctober 26-29, 1997 Santa Barbara, California
PublisherIEEE
Pages376-379
Volume3
ISBN (Print)0-8186-8183-7
DOIs
Publication statusPublished - Oct 1997
Externally publishedYes
Event1997 International Conference on Image Processing - Santa Barbara, CA, United States
Duration: 26 Oct 199729 Oct 1997

Conference

Conference1997 International Conference on Image Processing
PlaceUnited States
CitySanta Barbara, CA
Period26/10/9729/10/97

Fingerprint

Dive into the research topics of 'An Axiomatic approach to image interpolation'. Together they form a unique fingerprint.

Cite this