Self-similarity Driven Demosaicking
Antoni Buades, Bartomeu Coll, Jean-Michel Morel, Catalina Sbert
→ BibTeX
    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},
    pages   = {51--56},
    year    = {2011},
    doi     = {10.5201/ipol.2011.bcms-ssdd},
% if your bibliography style doesn't support doi fields:
    note    = {\url{}}
Antoni Buades, Bartomeu Coll, Jean-Michel Morel, and Catalina Sbert, Self-similarity Driven Demosaicking, Image Processing On Line, 1 (2011), pp. 51–56.

Communicated by Guillermo Sapiro
Demo edited by Pascal Getreuer


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.


Supplementary Materials