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Proceedings Paper

Vector quantization of wavelet coefficients for super-high-definition image
Author(s): Yoshiaki Kato; Yoshihisa Yamada; Hideo Ohira; Tokumichi Murakami
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Paper Abstract

In this paper, we describe a new coding scheme for super high definition (SHD) images using vector quantization of wavelet coefficients. This coding scheme includes hierarchical blocking and adaptive coding techniques to optimize the coding efficiency. The SHD image is decomposed into multi-resolution layers with the biorthogonal wavelet filter. The general ideas of the adaptive coding are to remove the redundancy of correlation between different layers and to attempt the minimization of perceptional error through adaptive bit allocation. To achieve the high compression ratio, wavelet coefficients except for the low frequency bands are coded by using vector quantization. The binary tree codebooks are created for each resolution layer. The depth of the tree search is also adaptively controlled according to the magnitude of the input vector. To evaluate the picture quality, objective and subjective tests are performed on the reconstructed SHD images. The results of our method give better SNR and picture quality compared with the JPEG baseline coding.

Paper Details

Date Published: 22 October 1993
PDF: 8 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993);
Show Author Affiliations
Yoshiaki Kato, Mitsubishi Electric Corp. (Japan)
Yoshihisa Yamada, Mitsubishi Electric Corp. (Japan)
Hideo Ohira, Mitsubishi Electric Corp. (Japan)
Tokumichi Murakami, Mitsubishi Electric Corp. (Japan)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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