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

KILIÇ İ.

IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Türkiye, 16 - 18 Mayıs 2005, cilt.2005, ss.151-154, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2005
  • Doi Numarası: 10.1109/siu.2005.1567642
  • Basıldığı Şehir: Kayseri
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.151-154
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

In 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.