New method for reducing boundary artifacts in block-based wavelet image compression

Jianxin Wei; Mark R. Pickering; Michael R. Frater; John F. Arnold

doi:10.1117/12.386560

30 May 2000 New method for reducing boundary artifacts in block-based wavelet image compression

Jianxin Wei, Mark R. Pickering, Michael R. Frater, John F. Arnold

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386560
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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 2^N + 1 rather than the conventional even block sizes given by 2^N. 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.

Citation Download Citation

Jianxin Wei, Mark R. Pickering, Michael R. Frater, and John F. Arnold "New method for reducing boundary artifacts in block-based wavelet image compression", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386560

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