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Improved ROI image coding based on SPIHT
基于SPIHT算法的改进ROI图像编码

Keywords: JPEG2000
分级树集合划分算法
,感兴趣区域,最大平移,比例位移

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Abstract:

There are two ROI(region of interest) coding methods in JPEG2000: max shift and scaling-based shift method, which can reconstruct ROI at frist. SPIHT, a very efficient embedded zerotree wavelet coding, was adapted in ROI coding. The frist n high bit planes were encoded in no difference between ROI and backgroud. The rest bit planes were encoded with zero for backgroud, but SPIHT for ROI. The merit of this method is that the number of bit planes is reduced and the base information of whole image is rebuilt at first. The image can be decoded applying original SPIHT decoding program. This method can be used in the existing SPIHT method and rebuilt ROI.

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