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dc.contributor.authorIudica, Riccardo
dc.contributor.authorArtigues, Gabriel
dc.contributor.authorPortell, Jordi
dc.contributor.authorGarcía-Berro Montilla, Enrique
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2016-04-07T14:40:58Z
dc.date.available2016-04-07T14:40:58Z
dc.date.issued2015-06-04
dc.identifier.citationIudica, R., Artiegues, G., Portell, J., Garcia-berro, E. Image data compression with hierarchical pixel averaging and fully adaptive prediction error coder. "Journal of applied remote sensing", 04 Juny 2015, vol. 9.
dc.identifier.issn1931-3195
dc.identifier.urihttp://hdl.handle.net/2117/85370
dc.description.abstractThe fully adaptive prediction error coder (FAPEC) is an entropy coder that typically offers better results than the adaptive Rice compressor. It uses basic preprocessing stages such as delta preprocessing, but it can also be combined with a discrete wavelet transform. We describe a new algorithm called hierarchical pixel averaging (HPA). It divides an image into blocks of 16 x 16 pixels, which are subsequently divided into smaller blocks, up to the basic level where one block corresponds to one pixel. Average pixel values are determined for each level from which differential coefficients are extracted. HPA allows the introduction of controlled losses with several quality levels, also allowing to progressively decompress a given image from lower to higher quality. It achieves better resolution in sharp image edges when compared to other lossy algorithms. HPA is based on simple arithmetic operations, allowing a very simple (thus quick) implementation. It does not use any floating-point operations, which is an interesting feature for satellite or embedded data compression. We present a first implementation of HPA and the results obtained on a variety of images, both for the lossless and lossy cases with different quality levels. Our results indicate that HPA + FAPEC offer a performance comparable to that of CCSDS 122.0. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshImage compression.
dc.subject.lcshData compression (Telecommunication)
dc.subject.otherimage data compression
dc.subject.otherfully adaptive prediction error coder
dc.subject.otherhierarchical pixel averaging
dc.subject.otherdiscrete wavelet transform
dc.subject.otherlossless
dc.subject.otherlossy
dc.titleImage data compression with hierarchical pixel averaging and fully adaptive prediction error coder
dc.typeArticle
dc.subject.lemacImatges -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. GAA - Grup d'Astronomia i Astrofísica
dc.identifier.doi10.1117/1.JRS.9.097493
dc.rights.accessOpen Access
local.identifier.drac16844774
dc.description.versionPostprint (author's final draft)
local.citation.authorIudica, R.; Artiegues, G.; Portell, J.; Garcia-berro, E.
local.citation.publicationNameJournal of applied remote sensing
local.citation.volume9


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