Self-similarity Driven Demosaicking
Antoni Buades, Bartomeu Coll, Jean-Michel Morel, Catalina Sbert
→ BibTeX
@article{ipol.2011.bcms-ssdd,
    title   = {{Self-similarity Driven Demosaicking}},
    author  = {Buades, Antoni and Coll, Bartomeu and Morel, Jean-Michel and Sbert, Catalina},
    journal = {{Image Processing On Line}},
    volume  = {1},
    year    = {2011},
    doi     = {10.5201/ipol.2011.bcms-ssdd},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{http://dx.doi.org/10.5201/ipol.2011.bcms-ssdd}}
published
2011-06-01
reference
Antoni Buades, Bartomeu Coll, Jean-Michel Morel, and Catalina Sbert, Self-similarity Driven Demosaicking, Image Processing On Line, 1 (2011). http://dx.doi.org/10.5201/ipol.2011.bcms-ssdd

Communicated by Guillermo Sapiro
Demo edited by Pascal Getreuer

Abstract

Digital cameras record only one color component per pixel, red, green or blue. Demosaicking is the process by which one can infer a whole color matrix from such a matrix of values, thus interpolating the two missing color values per pixel. In this article we propose a demosaicking method based on the property of non-local self-similarity of images.

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