A Decomposition and Noise Removal Method Combining Diffusion Equation and Wave Atoms for Textured Images
Author(s) -
Wallace Casaca,
Maurílio Boaventura
Publication year - 2010
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2010/764639
Subject(s) - weighting , noise reduction , texture (cosmology) , anisotropic diffusion , partial differential equation , noise (video) , image (mathematics) , nonlinear system , algorithm , diffusion equation , diffusion , mathematics , image denoising , computer science , artificial intelligence , mathematical analysis , physics , acoustics , engineering , metric (unit) , operations management , quantum mechanics , thermodynamics
We propose a new method that is aimed at denoising images having textures. The methodcombines a balanced nonlinear partial differential equation driven by optimal parameters, mathematical morphologyoperators, weighting techniques, and some recent works in harmonic analysis. Furthermore, the new schemedecomposes the observed image into three components that are well defined as structure/cartoon, texture, andnoise-background. Experimental results are provided to show the improved performance of our method for thetexture-preserving denoising problem
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom