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Proceedings Paper

New method for reducing boundary artifacts in block-based wavelet image compression
Author(s): Jianxin Wei; Mark R. Pickering; Michael R. Frater; John F. Arnold
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Paper Abstract

The wavelet transform is usually performed on a whole image. However when the amount of memory available for the transformation is limited, the input image is partitioned into non-overlapping blocks and then each block is processed independently. Quantization, that typically follows the transformation procedure in a compression system, inevitably introduces distortion, which becomes especially pronounced along the boundaries of the blocks. In this paper we show that a significant reduction in these block boundary artifacts can be achieved by choosing odd block sizes given by 2N + 1 rather than the conventional even block sizes given by 2N. We show that, for the same coefficient entropy, an image compressed using 17 X 17 blocks of wavelet coefficients has at least 1 dB higher PSNR than an image compressed using 16 X 16 blocks of wavelet coefficients.

Paper Details

Date Published: 30 May 2000
PDF: 6 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386560
Show Author Affiliations
Jianxin Wei, Univ. of New South Wales (Australia)
Mark R. Pickering, Univ. of New South Wales (Australia)
Michael R. Frater, Univ. of New South Wales (Australia)
John F. Arnold, Univ. of New South Wales (Australia)


Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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