http://www.cnr.it/ontology/cnr/individuo/prodotto/ID275148
A Low-Memory, Straightforward and Fast Bilateral Filter Through Subsampling in Spatial Domain (Articolo in rivista)
- Type
- Label
- A Low-Memory, Straightforward and Fast Bilateral Filter Through Subsampling in Spatial Domain (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1111/j.1467-8659.2011.02078.x (literal)
- Alternative label
Banterle F., Corsini M., Cignoni P., Scopigno R. (2012)
A Low-Memory, Straightforward and Fast Bilateral Filter Through Subsampling in Spatial Domain
in Computer graphics forum (Online)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Banterle F., Corsini M., Cignoni P., Scopigno R. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Grant agreement 231809 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- PuMa (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; (literal)
- Titolo
- A Low-Memory, Straightforward and Fast Bilateral Filter Through Subsampling in Spatial Domain (literal)
- Abstract
- In this work we present a new algorithm for accelerating the colour bilateral filter based on a subsampling strategy working in the spatial domain. The base idea is to use a suitable subset of samples of the entire kernel in order to obtain a good estimation of the exact filter values. The main advantages of the proposed approach are that it has an excellent trade-off between visual quality and speed-up, a very low memory overhead is required and it is straightforward to implement on the GPU allowing real-time filtering. We show different applications of the proposed filter, in particular efficient cross-bilateral filtering, real-time edge-aware image editing and fast video denoising. We compare our method against the state of the art in terms of image quality, time performance and memory usage. (literal)
- Prodotto di
- Autore CNR
- Insieme di parole chiave
Incoming links:
- Prodotto
- Autore CNR di
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
- Insieme di parole chiave di