A STUDY OF CODING PERFORMANCE WHILE ANALYSIS EXCHANGING WITH SYNTHESIS IN BIORTHOGONAL WAVELETS

Wang Guangxue; Sun Guangyu; Cao Changxiu; Gao Yong

Volume 21 Issue 3

May 1999

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Article Contents

Article Navigation > Journal of Electronics & Information Technology > 1999 > 21(3): 408-411

MA Bin, CHEN Haibo, ZHANG Chao. Network Selection Algorithm Based on Improved Deep Q-Learning[J]. Journal of Electronics & Information Technology, 2022, 44(1): 346-353. doi: 10.11999/JEIT200930

Citation:

Wang Guangxue, Sun Guangyu, Cao Changxiu, Gao Yong. A STUDY OF CODING PERFORMANCE WHILE ANALYSIS EXCHANGING WITH SYNTHESIS IN BIORTHOGONAL WAVELETS[J]. Journal of Electronics & Information Technology, 1999, 21(3): 408-411.

MA Bin, CHEN Haibo, ZHANG Chao. Network Selection Algorithm Based on Improved Deep Q-Learning[J]. Journal of Electronics & Information Technology, 2022, 44(1): 346-353. doi: 10.11999/JEIT200930

Citation:

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A STUDY OF CODING PERFORMANCE WHILE ANALYSIS EXCHANGING WITH SYNTHESIS IN BIORTHOGONAL WAVELETS

Received Date: 1997-09-23
Rev Recd Date: 1998-08-15
Publish Date: 1999-05-19

Abstract

Abstract

A new method for choosing biorthogonal wavelet bases which is suitable for image coding is presented. A thoroughly comparative study is made and biorthogonal wavelet bases suitable for image coding are selected by using several criteria of evaluation proven to be closely related to image coding. It is verified by coding experiment.

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References

Cohn A, Daubechies I, Feauveau F C. Biorthogonal base of compactly supported wavelet. Com-[2]mun.[J]. Pure Applied Math.1992,45:485-[3]Da Silva E A, Ghanbari M. On the performance of linear phase wavelet transforms in low bit-rate image coding. IEEE Trans. on IP, 1996, IP-5(5): 689-705.[4]Villasenor J D, Belzer B, Liao J. Wavelet filter evaluation for image compression. IEEE Trans. on IP, 1995, IP-4(8): 1053-1060.[5]Linde Y, Buzo A, Gray R M. An algorithm for vector quantization design. IEEE Trans. on Commun, 1980, COM-28(1): 84-95.

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