dc.creator | Fernández Berni, Jorge | es |
dc.creator | Carmona Galán, Ricardo | es |
dc.creator | Rodríguez Vázquez, Ángel Benito | es |
dc.date.accessioned | 2019-09-11T14:12:36Z | |
dc.date.available | 2019-09-11T14:12:36Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Fernández Berni, J., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (2011). Image filtering by reduced kernels exploiting kernel structure and focal-plane averaging. En 20th European Conference on Circuit Theory and Design (230-233), Linkoping, Suecia: Institute of Electrical and Electronics Engineers. | |
dc.identifier.isbn | 978-1-4577-0617-2 | es |
dc.identifier.uri | https://hdl.handle.net/11441/89095 | |
dc.description.abstract | Incorporating multi-resolution capabilities into imagers renders additional power saving mechanisms in the subsequent image processing. In this paper, we show how, by exploiting a certain mask structure, 3 × 3 kernels can be reduced to 2 × 2 kernels if charge redistribution is provided at the focal plane of the imaging device. More precisely, by averaging and shifting a half-resolution pixel grid, we will have a pre-processed image, subsampled by a factor of 2 on each dimension, that can be filtered with a mask of a reduced size. Very useful image filtering kernels, like a 3 × 3 Gaussian kernel for image smoothing, or the well-known Sobel operators, fall into this category of reducible kernels. Operating onto the pre-processed image with one of these reduced kernels represents a smaller number of operations per pixel than realizing all the multiply-accumulate operations needed to apply a 3 × 3 kernel. Memory accesses are reduced in the same fraction. Concerning the difficulties of providing this pre-processed image representation, we propose a methodology for obtaining it at a very low power cost. It requires the implementation of user definable image subdivision and subsampling at the focal plane. Experimental results are given, obtained from measurements on a CMOS imager prototype chip incorporating these multi-resolution capabilities. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TEC2009-11812 | es |
dc.description.sponsorship | Office of Naval Research N000141110312 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartof | 20th European Conference on Circuit Theory and Design (2011), p 230-233 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Image filtering by reduced kernels exploiting kernel structure and focal-plane averaging | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo | es |
dc.relation.projectID | TEC2009-11812 | es |
dc.relation.projectID | N000141110312 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1109/ECCTD.2011.6043324 | es |
dc.identifier.doi | 10.1109/ECCTD.2011.6043324 | es |
idus.format.extent | 4 p. | es |
dc.publication.initialPage | 230 | es |
dc.publication.endPage | 233 | es |
dc.eventtitle | 20th European Conference on Circuit Theory and Design | es |
dc.eventinstitution | Linkoping, Suecia | es |