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.
Published Version
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