Multiple wavelet basis image denoising using Besov ball projections

Hyeokho Choi, Richard G. Baraniuk

Research output: Contribution to journalArticle

46 Scopus citations

Abstract

We propose a new image denoising algorithm that exploits an image's representation in multiple wavelet domains. Besov balls are convex sets of images whose Besov norms are bounded from above by their radii. Projecting an image onto a Besov ball of proper radius corresponds to a type of wavelet shrinkage for image denoising. By defining Besov balls in multiple wavelet domains and projecting onto their intersection using the projection onto convex sets (POCS) algorithm, we obtain an estimate that effectively combines estimates from multiple wavelet domains. While simple, the algorithm provides significant improvement over conventional wavelet shrinkage algorithms based on a single wavelet domain.

Original languageEnglish (US)
Pages (from-to)717-720
Number of pages4
JournalIEEE Signal Processing Letters
Volume11
Issue number9
DOIs
StatePublished - Sep 2004

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Multiple wavelet basis image denoising using Besov ball projections'. Together they form a unique fingerprint.

Cite this