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Reversible image data compression based on HINT (hierarchical interpolation) decorrelation and arithmetic coding

机译:基于HINT(分层插值)去相关和算术编码的可逆图像数据压缩

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Abstract: In this paper a reversible image coder is presented for both 2D and 3D images. The coder is based on hierarchical interpolation (HINT) and arithmetic coding. Simulations on medical images show that the decorrelation efficiency of HINT is image dependent; arithmetic coding approximates the entropy of the decorrelated images within a few percent. An investigation is performed as to the gain that can be obtained by applying a HINT-like decorrelator to 3D images. A variance analysis of estimators used in 2D HINT shows that for the class of images with an isotropic negative exponential autocorrelation function, no significant improvement can be obtained by extending a 2D HINT-like decorrelation method to 3D. !
机译:摘要:本文针对2D和3D图像提出了一种可逆图像编码器。该编码器基于层次插值(HINT)和算术编码。在医学图像上的仿真表明,HINT的去相关效率取决于图像。算术编码使去相关图像的熵近似在百分之几之内。对可以通过将类似HINT的去相关器应用于3D图像获得的增益进行研究。对2D HINT中使用的估计量的方差分析表明,对于具有各向同性负指数自相关函数的图像类别,将2D HINT类解相关方法扩展到3D不能获得明显的改善。 !

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