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New context-based adaptive linear prediction algorithm for lossless image coding

机译:基于上下文的自适应线性预测新算法,用于无损图像编码

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In the paper an improved Context-Based Adaptive Linear Prediction (CoBALP_ultra) lossless image coding algorithm is presented. Three principal and few auxiliary contexts are defined. CoBALP stage is followed by two-step NLMS predictor, then cumulated predictor error is calculated on the basis of a new formula. It is shown experimentally that indeed, the new technique is time-effective while it outperforms the well known methods having reasonable time complexity, and is inferior only to extremely computationally complex ones.
机译:本文提出了一种改进的基于上下文的自适应线性预测(CoBALP_ultra)无损图像编码算法。定义了三个主要和少量辅助上下文。 CoBALP阶段之后是两步NLMS预测器,然后根据新公式计算累积的预测器误差。从实验上可以看出,确实,新技术在时间上是有效的,同时它却比具有合理时间复杂性的众所周知的方法要好,并且仅次于在计算上非常复杂的方法。

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