Pixel-position-based lossless image compression algorithm
dc.contributor.author | CABRAL, EDUARDO L.L. | pt_BR |
dc.contributor.author | SABUNDJIAN, GAIANE | pt_BR |
dc.contributor.author | CONTI, THADEU das N. | pt_BR |
dc.coverage | Internacional | pt_BR |
dc.date.accessioned | 2020-02-28T18:48:24Z | |
dc.date.available | 2020-02-28T18:48:24Z | |
dc.date.issued | 2019 | pt_BR |
dc.description.abstract | In this paper we present a novel lossless image compression method that is very simple and fast. The method uses linear prediction followed by arithmetic coding. Different prediction functions are used to estimate the intensity of image pixels. Two variants of the prediction algorithm are presented. One variant uses two different prediction functions and the other uses three different prediction functions. The position of the pixel in the image determines which prediction function is used. The method can be applied for images of any size and of high bit-depths. Standard images available in the literature are used to test the method. The compression ratios obtained with the proposed method are compared with the compression ratios obtained with the JPEG-LS and JPEG2000 methods and the results are satisfactory. | pt_BR |
dc.format.extent | 21-30 | pt_BR |
dc.identifier.citation | CABRAL, EDUARDO L.L.; SABUNDJIAN, GAIANE; CONTI, THADEU das N. Pixel-position-based lossless image compression algorithm. <b>International Journal of Innovative Studies in Sciences and Engineering Technology</b>, v. 5, n. 12, p. 21-30, 2019. Disponível em: http://repositorio.ipen.br/handle/123456789/30846. | |
dc.identifier.fasciculo | 12 | pt_BR |
dc.identifier.issn | 2455-4863 | pt_BR |
dc.identifier.orcid | 0000-0001-9544-4509 | pt_BR |
dc.identifier.orcid | 0000-0001-6632-2692 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-6155-0637 | |
dc.identifier.orcid | https://orcid.org/0000-0001-9544-4509 | |
dc.identifier.percentilfi | Sem Percentil | pt_BR |
dc.identifier.percentilfiCiteScore | Sem Percentil CiteScore | |
dc.identifier.uri | http://repositorio.ipen.br/handle/123456789/30846 | |
dc.identifier.vol | 5 | pt_BR |
dc.relation.ispartof | International Journal of Innovative Studies in Sciences and Engineering Technology | pt_BR |
dc.rights | openAccess | pt_BR |
dc.subject | images | |
dc.subject | image processing | |
dc.subject | compression | |
dc.subject | algorithms | |
dc.subject | computer graphics | |
dc.subject | computer codes | |
dc.subject | image converters | |
dc.subject | standardization | |
dc.subject | tomography | |
dc.subject | x-ray equipment | |
dc.subject | ultrasonography | |
dc.subject | oil spills | |
dc.subject | biomedical radiography | |
dc.title | Pixel-position-based lossless image compression algorithm | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dspace.entity.type | Publication | |
ipen.autor | THADEU DAS NEVES CONTI | |
ipen.autor | GAIANE SABUNDJIAN | |
ipen.autor | EDUARDO LOBO LUSTOSA CABRAL | |
ipen.codigoautor | 284 | |
ipen.codigoautor | 202 | |
ipen.codigoautor | 496 | |
ipen.contributor.ipenauthor | THADEU DAS NEVES CONTI | |
ipen.contributor.ipenauthor | GAIANE SABUNDJIAN | |
ipen.contributor.ipenauthor | EDUARDO LOBO LUSTOSA CABRAL | |
ipen.date.recebimento | 20-02 | |
ipen.identifier.fi | Sem F.I. | pt_BR |
ipen.identifier.fiCiteScore | Sem CiteScore | |
ipen.identifier.ipendoc | 26677 | pt_BR |
ipen.type.genre | Artigo | |
relation.isAuthorOfPublication | 2869c5cc-3f1b-4f1b-93e5-74c96982be93 | |
relation.isAuthorOfPublication | 915b9343-9eaf-4b03-b709-85699f77b71c | |
relation.isAuthorOfPublication | de87f375-d22e-4af7-82ec-48091108be70 | |
relation.isAuthorOfPublication.latestForDiscovery | de87f375-d22e-4af7-82ec-48091108be70 | |
sigepi.autor.atividade | CONTI, THADEU das N.:284:420:N | pt_BR |
sigepi.autor.atividade | SABUNDJIAN, GAIANE:202:420:N | pt_BR |
sigepi.autor.atividade | CABRAL, EDUARDO L.L.:496:420:S | pt_BR |