图像子带的树编码

S. Nanda, W. Pearlman
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引用次数: 3

摘要

证明了对具有平方误差失真的高斯源图像子带进行最优编码可获得最佳的率失真性能。最优性能只有在无限大小的源序列下才能渐近实现。研究了有限大小序列的率失真函数的极限方法,并推导了一个界,该界显示了对子带的编码比对整个带的编码更接近的方法。采用最优树编码方法的次优实现,以每像素1.0比特的速度对全带图像及其子带进行编码。子带树编码图像的信噪比优于2db以上,其整体性能几乎与迄今为止已知的最佳方案相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tree coding of image sub-bands
It is proved that optimal coding of image subbands achieves the ultimate rate-distortion performance for Gaussian sources with squared-error distortion. Optimal performance is achieved only asymptotically with infinite-size source sequences. The approach of the rate-distortion function of finite-size sequences to its limit is investigated and a bound is derived that shows a potentially closer approach for coding subbands that for the full band. A suboptimal realization of an optimal tree coding method is used to encode both the full-band image and its subbands at 1.0 bit per pixel. The subband tree-coded image is more than 2 dB better in SNR and its overall performance is nearly comparable to that of the best schemes known to date.<>
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