外文翻譯----一種基于嵌入式零樹(shù)小波算法的魯棒圖像壓縮新方法（二）(文件)
【正文】 s has been pointed out in Section II, the EZW decoder can use all of the bits received before the occurrence of the first error to reconstruct the image. By coding the wavelet coefficients with multiple, independent (and interleaved) bit streams, a single bit error truncates only one of the streams— the others are still pletely received. Consequently, the wavelet coefficients represented by the truncated stream are reconstructed at reduced resolution while those 2 represented by the other streams are reconstructed at the full encoder resolution. If the set of coefficients in each stream spans the entire image, then the inverse wavelet transform in the decoder evenly blends the different resolutions so that the resulting image has a spatially consistent quality. IV. STOCHASTIC ANALYSIS To evaluate the effectiveness of this family of robust pression algorithms, we assume that the coded image is transmitted through a binary symmetric, memoryless channel with a probability of bit error gi
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