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Progressive trellis-coded space-frequency quantization for wavelet image coding

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2 Author(s)
Seigneurbieux, P. ; Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA ; Zixiang Xiong

This paper addresses progressive wavelet image coding within the trellis-coded space-frequency quantization (TCSFQ) framework (Xiong et al., 1999). A method similar to that in Bilgin et al. (1999), is used to approximately invert TCSFQ when decoding at rates lower than the encoding rate. Our experiments show that the loss incurred for progressive transmission is within 1 dB in peak signal-to-noise ratio and that the progressive coding performance of TCSFQ is competitive with that of the celebrated SPIHT coder (Said et al., 1996) at all rates

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Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:12 ,  Issue: 7 )