An image compression algorithm using hierarchical finite state vector quantization and zerotree wavelet structure; [Hiyerarşik sonlu durum vektör nicemleme ve sifir aǧaç dalgacik yapi ile imge kodlama]

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dc.contributor.authorKiliç I.
dc.date.accessioned2024-07-22T08:23:36Z
dc.date.available2024-07-22T08:23:36Z
dc.date.issued2005
dc.description.abstractIn this paper an image compression technique which is designed for high compression ratios is presented. The discrete wavelet transform (DWT) is combined with Lloyd Max (LM) quantization and zerotree wavelet (ZTW) structure. The novel and the most important feature of this coding scheme is the combination of hierarchical finite state vector quantization (HFSVQ) with the zerotree structure to encode the quantized wavelet coefficients. The wavelet coefficients belong to the standard images are compressed at high ratios. The simultion results show that this proposed new encoder performs better than the intra coding schemes of EZW, ZTE, MPEG-4/VM video encoders and JPEG image encoder. © 2005 IEEE.
dc.identifier.DOI-ID10.1109/SIU.2005.1567642
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/19605
dc.language.isoTurkish
dc.subjectFinite automata
dc.subjectImage coding
dc.subjectVector quantization
dc.subjectWavelet transforms
dc.subjectDiscrete wavelet transform (DWT)
dc.subjectHierarchical finite state vector quantization (HFSVQ)
dc.subjectLloyd Max (LM) quantization
dc.subjectZerotree wavelet structure
dc.subjectImage compression
dc.titleAn image compression algorithm using hierarchical finite state vector quantization and zerotree wavelet structure; [Hiyerarşik sonlu durum vektör nicemleme ve sifir aǧaç dalgacik yapi ile imge kodlama]
dc.typeConference paper

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