Context based multiwavelet image coding using SPIHT framework

  • Authors:

  • He Xiaocheng;Yu Sheng Sheng;Zhou Jing Li;Li Jun;Chen JiaZhong

  • Affiliations:

  • Computer School, Huazhong University of Sci., & Tech., Wuhan, Hubei 430074, P.R.China;Computer School, Huazhong University of Sci., & Tech., Wuhan, Hubei 430074, P.R.China;Computer School, Huazhong University of Sci., & Tech., Wuhan, Hubei 430074, P.R.China;Computer School, Huazhong University of Sci., & Tech., Wuhan, Hubei 430074, P.R.China;Computer School, Huazhong University of Sci., & Tech., Wuhan, Hubei 430074, P.R.China

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2003

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Abstract

In this paper, multiwavelets are considered in the context of image compression. For evaluating the effectiveness of multiwavelet transform for coding image at low bit-rates, an efficient embedded coding of wavelet coefficients has been realized. Firstly, selecting the BSA(4/4)* filters [11], two-dimensional (2-D) image is transformed with our proposed algorithm I. Secondly; we split the coefficients into two parts, namely the significance map and the residue map. Then a new modified algorithm for set partitioning in hierarchical trees (SPIHT) is proposed prencoding the significance map. Further algorithm III is presented for coding the residue map. Finally, we adopt context-based adaptive arithmetic coding to encode the bit stream. We also provide some experimental results proving that multiwavelets are worth studying, and compare them with those of other multiwavelet and scalar wavelet algorithm.