Abstract
The aim of the paper is to explore the application of 2-D dual tree discrete wavelet transform (DDWT) which is directional and redundant over the critically sampled transform like discrete wavelet transform (DWT) for image coding. In this paper image coding application is investigated with DDWTs along with iterative projection based noise shaping (IP-NS) algorithm. IP-NS is one of sparsifying method for DDWT coefficients used to modify large coefficients to compensate for the loss of small coefficients, without substantially changing the original image. Promising results are compared with DWT and DWT with noise shaping also. After thorough investigations, it is proposed that by employing DDWT along with noise shaping algorithm significantly improve the performance over DWT.
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© 2010 Springer-Verlag Berlin Heidelberg
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Talbar, S.N., Deshmane, A.K. (2010). Biomedical Image Coding Using Dual Tree Discrete Wavelet Transform and Iterative Projection. In: Das, V.V., Vijaykumar, R. (eds) Information and Communication Technologies. ICT 2010. Communications in Computer and Information Science, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15766-0_88
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DOI: https://doi.org/10.1007/978-3-642-15766-0_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15765-3
Online ISBN: 978-3-642-15766-0
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