Dual-Domain Filtering


Autoria(s): Knaus, Claude; Zwicker, Matthias
Data(s)

2015

Resumo

We propose dual-domain filtering, an image processing paradigm that couples spatial domain with frequency domain filtering. Our dual-domain defined filter removes artifacts like residual noise of other image denoising methods and compression artifacts. Moreover, iterating the filter achieves state-of-the-art image denoising results, but with a much simpler algorithm than competing approaches. The simplicity and versatility of the dual-domain filter makes it an attractive tool for image processing.

Formato

application/pdf

Identificador

http://boris.unibe.ch/81124/1/140978879.pdf

Knaus, Claude; Zwicker, Matthias (2015). Dual-Domain Filtering. SIAM Journal on Imaging Sciences, 8(3), pp. 1396-1420. SIAM 10.1137/140978879 <http://dx.doi.org/10.1137/140978879>

doi:10.7892/boris.81124

info:doi:10.1137/140978879

urn:issn:1936-4954

Idioma(s)

eng

Publicador

SIAM

Relação

http://boris.unibe.ch/81124/

Direitos

info:eu-repo/semantics/openAccess

Fonte

Knaus, Claude; Zwicker, Matthias (2015). Dual-Domain Filtering. SIAM Journal on Imaging Sciences, 8(3), pp. 1396-1420. SIAM 10.1137/140978879 <http://dx.doi.org/10.1137/140978879>

Palavras-Chave #000 Computer science, knowledge & systems #510 Mathematics
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed