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OALib Journal期刊
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New multi-resolution SPIHT approach with simple error detection
一种简单误码检错多分辨率SPIHT算法

Keywords: image compression,Set Partitioning in Hierarchical Trees (SPIHT),multi-resolution,error detection
图像压缩
,分级树集合划分,多分辨率,检错,误码,检错,多分辨率,SPIHT,算法,detection,error,simple,能力,高信噪比,抗噪性能,改进,的保护,学者,解码器,码元,传输错误,路径信息,可靠性要求,图像还原

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Abstract:

SPIHT algorithm, evolving from EZW, is so far one of the most influential wavelet compression algorithms, which encodes wavelet coefficients according to their energy or significance through a unique pass. Due to the introduction of wavelet tree and the certain pass, high compression ratio was obtained as well as high quality of image or video. Multi-resolution SPIHT, being later proposed, promised resolution option based on channel condition. However, accurate path information is so demanded in SPIHT that any error of path bit will bring decoding failure of following bits. Various mechanisms were employed to protect the path information, which turn out of little help to fundamentally enhance its capability of anti-noise. The algorithm proposed in the paper provides the decoder with high PSNR and error detection without additional bits by improving the original algorithm.

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