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Arithmetic coding model for color images processed by error diffusion

机译:误差扩散处理的彩色图像算术编码模型

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Abstract: We propose an arithmetic coding model for color images processed by the error diffusion. The error diffusion is a dynamic thresholding method of high quality tone rendering. However, there is a problem that probability model of conventional compression methods such as MH and MMR are not suitable for bi-level images processed by the error diffusion. Consequently, much transmission time or much accumulation memory is required. We have constructed a probability model which is based on the processing structure of the error diffusion, and combined arithmetic coding because of its flexibility in the construction of probability models. Simulation results have shown that this coding model is efficient for color images processed by the error diffusion.!
机译:摘要:我们提出了一种用于误差扩散处理的彩色图像的算术编码模型。误差扩散是高质量音调渲染的动态阈值方法。然而,存在这样的问题,诸如MH和MMR的常规压缩方法的概率模型不适用于通过误差扩散处理的双层图像。因此,需要大量的传输时间或大量的累积存储器。我们建立了一个基于误差扩散处理结构的概率模型,并由于其在概率模型构建中的灵活性而组合了算术编码。仿真结果表明,该编码模型对于通过误差扩散处理的彩色图像是有效的。

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