Abstract
This letter exploits fundamental characteristics of a wavelet transform image to form a progressive octave-based spatial resolution. Each wavelet subband is coded based on zeroblock and quardtree partitioning ordering scheme with memory optimization technique. The method proposed in this letter is of low complexity and efficient for Internet plug-in software.
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References
R. Kutil, A significance map based adaptive wavelet zerotree codec, SPIE Proceedings, 4674(2002)1, 61–71.
U. Bayazit, W. A. Pearlman, Algorithmic modifications to SPIHT, IEEE Int. Conf. on Image Processing, Thessaloniki, Greece, 2001, 7–10, 3, 800–803.
A. Islam, W. A. Pearlman, An embedded and efficient low-complexity hierarchical image coder, SPIE Proceedings, 3653(1999)1, 294–305.
ISO/IEC JTC1/SC29/WG1 N1577: JPEG2000 Part II Working Draft Version 1.0 Pre-Release A, Jan.26, 2000.
Ma Shexiang, Liu Guizhong, Internet image progressive transmission techenique based on wavelet transform and mulit-average, Journal of Image and Graphics, 11(2000)5, 942–947, (in Chinese).
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Supported by the National Natural Science Foundation of China (No.60372087)
Communication author: Wang Na, born in 1977, female, Ph.D., lecturer. Department of Information Engineering, Shenzhen University, Shenzhen 518060, China.
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Wang, N., Zhang, L., Zhou, X. et al. Spatially scalable resolution image coding method with memory optimization based on wavelet transform. J. of Electron.(China) 22, 94–97 (2005). https://doi.org/10.1007/BF02687958
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DOI: https://doi.org/10.1007/BF02687958