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Modified ZM-SPECK: A Low Complexity and Low Memory Wavelet Image Coder for VS/IoT Nodes

机译:修改的ZM-SPECK:用于VS / IOT节点的低复杂性和低存储器小波图像编码器

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The zero-memory set partitioned embedded block (ZM-SPECK) algorithm is a memory efficient block-based image coder used to encode the wavelet transformed images. It is a listless form of the SPECK algorithm and has no provision for saving the significance information for various coefficients/sets. Since it performs significance testing of sets recursively at each bit-plane, therefore it is computationally complex. Due to this limitation, it is difficult to implement it on low resource sensor/IoT nodes. In this paper, its low complexity version named Modified Zero Memory Set Partitioned Embedded Block (MZM-SPECK) is proposed which reduces the recursive significance test of sets. The simulation results indicate that the proposed algorithm surpasses other wavelet-based coders with regard to memory and computational complexity while maintaining the excellent coding efficiency.
机译:零存储器设置分区嵌入式块(ZM-SPECK)算法是用于编码小波变换图像的基于存储器的基于存储器的图像编码器。它是一种单独的Speck算法形式,没有提供用于保存各种系数/集的重要信息。由于它在每个位平面处递归地执行对集合的重要性测试,因此它是计算复杂的。由于这种限制,很难在低资源传感器/物联网节点上实现它。在本文中,提出了它的低复杂性版本的修改过零存储器设置分区嵌入式块(MZM-SPECK),从而降低了集合的递归意义测试。仿真结果表明,所提出的算法超越了关于存储器和计算复杂性的基于小波的编码器,同时保持了优异的编码效率。

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