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| BWT AND FVQ BASED VERY LOW BIT RATE IMAGE CODING ALGORITHM |
| Wang Lei;Qi Feihu;Zhao Xuechun |
| Department of Computer,Shanghai Jiaotong University,Shanghai 200030 |
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Abstract A biorthogonal wavelet transform (BWT) and fuzzy vector quantization (FVQ)based very low bit rate image coding algorithm is proposed.The correlation of the wavelet coefficients in different frequency bands is fully exploited through constructing the band-cross vector,so the high coding efficiency and reconstructed image quality are obtained simulta-neously.In addition,a hybrid vector quantization (VQ) scheme is presented to improve the performance of VQ,which combines the non-linear interpolated vector quantization (NLIVQ)technique with a novel progressive constructive fuzzy clustering algorithm.Simulation results demonstrate that the reconstruction quality is higher than 30dB at a very low bit rate of 0.172bpp.
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Received: 04 December 1998
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2000, Vol. 22 
