基于混合预测的无损图像压缩方法

G. Ulacha, P. Dziurzański
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引用次数: 5

摘要

本文提出了一种基于混合预测的图像无损压缩方法及其系统级模型,该方法利用基于网络的多核实现。我们利用多路径路由算法和启发式算法进行核心映射,以平衡和最小化实现压缩算法后续阶段的核心之间的传输。实验结果验证了该方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blending-prediction-based approach for lossless image compression
An approach for blending-prediction-based lossless compression of images together with its system-level model utilizing a NoC-based multicore realization is presented in this paper. We utilize a multi-path routing algorithm and heuristic algorithms for core mapping in order to balance and minimize transfers between cores realizing subsequent stages of the compression algorithm. The experimental results confirming the applicability of the proposed approach are provided.
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