dc.contributor.author |
Terebeș, Romulus |
|
dc.date.accessioned |
2020-04-27T13:41:57Z |
|
dc.date.accessioned |
2021-03-01T08:49:19Z |
|
dc.date.available |
2020-04-27T13:41:57Z |
|
dc.date.available |
2021-03-01T08:49:19Z |
|
dc.date.issued |
2007 |
|
dc.identifier.citation |
Terebeș, Romulus. Image restoration through fusion and diffusion . Timişoara: Editura Politehnica, 2007 |
en_US |
dc.identifier.uri |
http://primo.upt.ro:1701/primo-explore/fulldisplay?docid=40TUT000134133&context=L&vid=40TUT_V1&lang=ro_RO&search_scope=40TUT&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,Image%20restoration%20through%20fusion%20and%20diffusion&sortby=rank&offset=0 Link Primo |
|
dc.description.abstract |
This paper presents a new framework for
image restoration using the Partial Derivatives
Equations (PDE) approach and image fusion techniques.
The degraded image is processed independently using
two or more PDE filters than the results are combined
through fusion, the final processed image being obtained
by a recurrence of the previous steps. The proposed
framework allows combinations of any PDE based filters
for processing adaptively a given region of the input
image with the most appropriate filter. Preliminary
results show that this approach is very efficient in
designing new image restoration techniques. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Timişoara : Editura Politehnica |
en_US |
dc.relation.ispartofseries |
Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 52(66), fasc. 1 (2007), p. 3-8 |
|
dc.subject |
Restoration |
en_US |
dc.subject |
PDE |
en_US |
dc.subject |
Image |
en_US |
dc.subject |
Fusion |
en_US |
dc.title |
Image restoration through fusion and diffusion [articol] |
en_US |
dc.type |
Article |
en_US |