Joint Denoising and demosaicking of raw video sequences

Buades, Antoni; Duran, Joan

dc.contributor.author	Buades, Antoni
dc.contributor.author	Duran, Joan
dc.date.accessioned	2024-02-07T07:32:48Z
dc.identifier.uri	http://hdl.handle.net/11201/164592
dc.description.abstract	The demosaicking provokes the spatial and color correlation of noise, which is afterwards enhanced by the imaging pipeline. The correct removal previous or simultaneously with the demosaicking process is not usually considered in the literature. We present a novel joint demosaicking and denoising algorithm for image sequences. The proposed algorithm uses a spatio-temporal patch method modifying all pixels, including those of the Bayer CFA. However, only original values are considered for averaging. The experimentation, including real examples, illustrates how a joint denoising and demosaicking algorithm avoids the creation of artifacts and colored spots in the final image.
dc.format	application/pdf
dc.relation.isformatof	https://doi.org/10.1109/ICIP.2018.8451853
dc.relation.ispartof	IEEE International Conference on Image Processing (ICIP), 2018, p. 2172-2176
dc.rights	, 2018
dc.subject.classification	51 - Matemàtiques
dc.subject.classification	004 - Informàtica
dc.subject.other	51 - Mathematics
dc.subject.other	004 - Computer Science and Technology. Computing. Data processing
dc.title	Joint Denoising and demosaicking of raw video sequences
dc.type	info:eu-repo/semantics/article
dc.date.updated	2024-02-07T07:32:48Z
dc.date.embargoEndDate	info:eu-repo/date/embargoEnd/2100-01-01
dc.embargo	2100-01-01
dc.rights.accessRights	info:eu-repo/semantics/embargoedAccess
dc.identifier.doi	https://doi.org/10.1109/ICIP.2018.8451853