Geometry-based demosaicking

Geometry-based demosaicking

Demosaicking is a particular case of interpolation problems where, from a scalar image in which each pixel has either the red, the green or the blue component, we want to interpolate the full-color image. State-of-the-art demosaicking algorithms perform interpolation along edges, but these edges are...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 18(2009), 3 vom: 01. März, Seite 665-70
1. Verfasser: Ferradans, Sira (VerfasserIn)
Weitere Verfasser: Bertalmío, Marcelo, Caselles, Vicent
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Evaluation Study Letter Research Support, Non-U.S. Gov't
LEADER 01000naa a22002652 4500
001 NLM186160518
003 DE-627
005 20231223173732.0
007 cr uuu---uuuuu
008 231223s2009 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2008.2010204  |2 doi 
028 5 2 |a pubmed24n0621.xml 
035 |a (DE-627)NLM186160518 
035 |a (NLM)19188122 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Ferradans, Sira  |e verfasserin  |4 aut 
245 1 0 |a Geometry-based demosaicking 
264 1 |c 2009 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 16.04.2009 
500 |a Date Revised 10.12.2019 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a Demosaicking is a particular case of interpolation problems where, from a scalar image in which each pixel has either the red, the green or the blue component, we want to interpolate the full-color image. State-of-the-art demosaicking algorithms perform interpolation along edges, but these edges are estimated locally. We propose a level-set-based geometric method to estimate image edges, inspired by the image inpainting literature. This method has a time complexity of O(S) , where S is the number of pixels in the image, and compares favorably with the state-of-the-art algorithms both visually and in most relevant image quality measures 
650 4 |a Evaluation Study 
650 4 |a Letter 
650 4 |a Research Support, Non-U.S. Gov't 
700 1 |a Bertalmío, Marcelo  |e verfasserin  |4 aut 
700 1 |a Caselles, Vicent  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society  |d 1992  |g 18(2009), 3 vom: 01. März, Seite 665-70  |w (DE-627)NLM09821456X  |x 1941-0042  |7 nnns 
773 1 8 |g volume:18  |g year:2009  |g number:3  |g day:01  |g month:03  |g pages:665-70 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2008.2010204  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 18  |j 2009  |e 3  |b 01  |c 03  |h 665-70