Document Type

Article

Journal/Book Title/Conference

IEEE International Conference on Acoustics, Speech, and Signal Processing

Volume

4

Publisher

IEEE

Location

Istanbul

Publication Date

6-2000

First Page

1903

Last Page

1906

DOI

10.1109/ICASSP.2000.859200

Abstract

We propose a wavelet image coding scheme using rate-distortion adaptive tree-structured residual vector quantization. Wavelet transform coefficient coding is based on the pyramid hierarchy (zero-tree), but rather than determining the zero-tree relation from the coarsest subband to the finest by hard thresholding, the prediction in our scheme is achieved by rate-distortion optimization with adaptive vector quantization on the wavelet coefficients from the finest subband to the coarsest. The proposed method involves only integer operations and can be implemented with very low computational complexity. The preliminary experiments have shown some encouraging results: a PSNR of 30.93 dB is obtained at 0.174 bpp on the test image LENA (512×512)

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