Paper
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
Author Affiliations +
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 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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 4 scholarly publications and 3 patents.
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KEYWORDS
Image compression

Wavelets

Discrete wavelet transforms

Image processing

Quantization

Distortion

Image filtering

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