dc.creatorJUAN CARLOS GALAN HERNANDEZ
dc.creatorVICENTE ALARCON AQUINO
dc.creatorOLEG STAROSTENKO BASARAB
dc.creatorJUAN MANUEL RAMIREZ CORTES
dc.date2010
dc.date.accessioned2023-07-25T16:23:46Z
dc.date.available2023-07-25T16:23:46Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1496
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806691
dc.descriptionDiscrete Wavelet Transform (DWT) foveated compression can be used in real-time video processing frameworks for reducing the communication overhead. Such algorithms lead into high rate compression results due to the fact that the information loss is isolated outside a region of interest (ROI). The fovea compression can also be applied to other classic transforms such as the commonly used discrete cosine transform (DCT). An analysis has then been performed showing different error and compression rates for the DWT-based and the DCT-based foveated compression algorithms. Simulation results show that with foveated compression high ratio of compression can be achieved while keeping high quality over the designed ROI.
dc.formatapplication/pdf
dc.languageeng
dc.publisherInstituto Politécnico Nacional
dc.relationcitation:Galan-Hernandez, J.C., et al., (2010). DWT foveation-based multiresolution compression algorithm, Research in Computing Science (30): 197-206
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Foveation/Foveation
dc.subjectinfo:eu-repo/classification/Wavelets/Wavelets
dc.subjectinfo:eu-repo/classification/Wavelet transforms/Wavelet transforms
dc.subjectinfo:eu-repo/classification/Discrete cosine transform/Discrete cosine transform
dc.subjectinfo:eu-repo/classification/Compression/Compression
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/22
dc.subjectinfo:eu-repo/classification/cti/2203
dc.subjectinfo:eu-repo/classification/cti/2203
dc.titleDWT foveation-based multiresolution compression algorithm
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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