Abstract
The objective of this study is to make stereo image coding more efficient by estimating the characteristics of stereo residual. The proposed method is based on the embedded zerotree wavelet algorithm, which is modified to improve its performance for stereo residual images by determining the thresholds during the dominant pass and the repetition times of the subordinate passes dynamically by considering the edge tendency of the input image. The experimental results show that the proposed method provides better performance than the conventional coder for the processing of stereo residuals.
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This work was partially supported by the Brain Korea 21 project in 2005 and KIPA-Information Technology Research Center.
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© 2005 Springer-Verlag Berlin Heidelberg
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Koo, HS., Jeong, CS. (2005). Modified EZW Coding for Stereo Residual. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_123
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DOI: https://doi.org/10.1007/11596981_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30819-5
Online ISBN: 978-3-540-31598-8
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