A Method For Selective Color Images Compression

dc.creatorDe Miranda Gomes D.
dc.creatorDe Almeida Filho W.T.
dc.creatorDoria Neto A.D.
dc.date2003
dc.date2015-06-30T17:32:41Z
dc.date2015-11-26T14:12:16Z
dc.date2015-06-30T17:32:41Z
dc.date2015-11-26T14:12:16Z
dc.date.accessioned2018-03-28T21:12:51Z
dc.date.available2018-03-28T21:12:51Z
dc.identifier
dc.identifierProceedings Of The International Joint Conference On Neural Networks. , v. 2, n. , p. 1207 - 1212, 2003.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0141683671&partnerID=40&md5=aec38197ffde793b2160ce5bcf3411d4
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/102572
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/102572
dc.identifier2-s2.0-0141683671
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241948
dc.descriptionSome applications that make use of digital images do not allow that the last are compressed with loss of information. A solution for this problem can be the use of a selective compression method, where determined regions of the image where the loss of information is not tolerable (regions of interest - Rol) are compressed without losses and the remaining portion with losses, making possible to reach high compression ratios. This paper proposes a selective compression method of digital color images where the perfect reconstruction of the regions of interest is guaranteed. The method uses competitive neural networks, mathematical morphology, Huffman adaptive coding and wavelet transform.
dc.description2
dc.description
dc.description1207
dc.description1212
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dc.languageen
dc.publisher
dc.relationProceedings of the International Joint Conference on Neural Networks
dc.rightsfechado
dc.sourceScopus
dc.titleA Method For Selective Color Images Compression
dc.typeActas de congresos


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