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Adaptive wavelet packet basis selection for zerotree image coding
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DOI：10.1109/TIP.2003.818115.png)
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摘要
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Image coding methods based on adaptive wavelet transform and those employing zerotree quantization have been shown to be successful in recent years. In this paper, we present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. A fast basis selection algorithm which uses a Markov chain based cost estimate of encoding the image using this structure is developed. As a result, our adaptive wavelet zerotree image coder has a relatively low computational complexity, performs comparably to the state-of-the-art image coders, and is capable of progressively encoding images.
Keyword:
basis selection
image coding
wavelet transform
zerotree quantization
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期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
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