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Journal of Electronic Imaging

Pyramidal piecewise uniform lattice quantization in the wavelet transform domain for image coding
Author(s): Sheng Lin; Ezzatollah Salari
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Paper Abstract

The wavelet transform, which provides a multiresolution representation of images, has been widely used in image compression. A new image coding scheme using the wavelet transform and lattice vector quantization is presented. The input image is first decomposed into a hierarchy of three layers containing 10 subimages by discrete wavelet transform. The lowest resolution low-frequency subimage is scalar quantized with 8 bits/pixel. High-frequency subimages are encoded by lattice vector quantization. A pyramidal piecewise uniform companding approach is used to design the lattice quantizer according to a piecewise constant approximation to the probability density function of the input source. Due to the fast algorithm of lattice quantization, computational complexity is greatly reduced as compared to the vector quantizers based on the Linde-Buzo-Gray (LBG) algorithm. Computer simulations show that the proposed coding scheme can achieve a high compression ratio while maintaining good reconstruction image quality (both objectively and subjectively).

Paper Details

Date Published: 1 January 1997
PDF: 8 pages
J. Electron. Imag. 6(1) doi: 10.1117/12.251160
Published in: Journal of Electronic Imaging Volume 6, Issue 1
Show Author Affiliations
Sheng Lin, Univ. of Toledo (United States)
Ezzatollah Salari, Univ. of Toledo (United States)

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