Shape adaptive embedded wavelet image code
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摘要: 形状自适应的小波变换编码可以编码任意形状的物体,不但保持了物体的纹理信息,而且编码不会带来不必要的冗余.但是当对任意形状的物体进行小波变换时,会由于变换序列的长度、下采样位置的不同而带来一些变化.文章利用懒小波对任意形状的掩膜进行变换,并且采用9-7滤波器的提升小波形式,很好地解决了这些问题.最终通过修正的形状自适应的SPIHT算法,对任意形状物体的内部纹理进行编码压缩.与原始算法相比,性能提高了大约0.2 dB.Abstract: It can code arbitrarily shaped object not only preserving visual texture information but also introducing no redundancy. Transforming arbitrarily shaped object will bring a little change because of the variety of sequence's length and subsample location, which was resolved by the method that arbitrarily shaped mask images were transformed through lazy wavelet and shape adaptive wavelet transform was resolved by lift-based wavelet of 9-7 filter banks. Finally arbitrarily shaped object texture was coded and compressed using the modified shape adaptive SPIHT. Comparison with origin algorithm shows the gain of 0.2 dB.
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Key words:
- arbitrarily shaped /
- shape adaptive /
- lazy wavelet /
- 9-7 filter banks /
- lift-based wavelet
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