Vector quantization of wavelet coefficients for super-high-definition image

Yoshiaki Kato; Yoshihisa Yamada; Hideo Ohira; Tokumichi Murakami

doi:10.1117/12.157857

22 October 1993 Vector quantization of wavelet coefficients for super-high-definition image

Yoshiaki Kato, Yoshihisa Yamada, Hideo Ohira, Tokumichi Murakami

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157857
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

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.

Citation Download Citation

Yoshiaki Kato, Yoshihisa Yamada, Hideo Ohira, and Tokumichi Murakami "Vector quantization of wavelet coefficients for super-high-definition image", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157857

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