使用分形的低功耗图像解码

K. Masselos, P. Merakos, T. Stouraitis, C. Goutis
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引用次数: 0

摘要

提出了一种基于分形的图像解码低功耗评估方法。分形编码本质上是不对称的,这意味着编码器和解码器的计算复杂度不相同。虽然分形编码在计算方面非常复杂,但分形解码的计算需求非常小,有利于低功耗。分形解码的结构算法特性也有利于低功耗。与其他经典译码技术的比较表明,分形译码可以显著节省译码功率。如果考虑到解码器通常是系统的移动部分这一事实,这对于便携式应用程序非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-power image decoding using fractals
In this paper a low-power evaluation of image decoding using fractals is presented. Fractal coding is asymmetrical in nature meaning that the encoder and the decoder have not the same computational complexity. Although fractal encoding is very complex in terms of computation, the computational requirements of fractal decoding are very small favoring low power consumption. Structural algorithmic properties of fractal decoding also favor low-power. Comparison with other classical decoding techniques shows that significant power savings can be achieved by using fractal decoding. This is very important for portable applications if the fact that the decoder is usually the mobile part of a system is taken into consideration.
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