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Wavelet-Based Embedded Image Coding Using Dynamic Index Reordering Vector Quantization

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2 Author(s)
Jungwon Lee ; Georgia Institute of Technology, ; David V. Anderson

We propose an improved wavelet-based embedded image coding scheme using dynamic index reordering vector quantization. The successive approximation process in embedded image coding is defined as a temporal process, and dynamic index reordering vector quantization is applied to the temporal domain. In this method, the redundancy in consecutive angle or pattern transition is exploited. An efficient encoding and decoding algorithm is also presented to alleviate the computational complexity of dynamic index reordering vector quantization.

Published in:

Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th

Date of Conference:

4-7 Jan. 2009