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Scheduling-scheme and parallel structure for multi-level lifting two-dimensional discrete wavelet transform without using frame-buffer

机译:不使用帧缓冲区的多层提升二维离散小波变换的调度方案和并行结构

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In this paper, we have proposed a novel scheduling scheme for generating continuous input-blocks for the succeeding processing units of parallel structure to achieve 100% hardware utilisation efficiency (HUE) without block folding. Based on the proposed scheme, we have derived a parallel and pipeline structure for multilevel lifting two-dimensional discrete wavelet transform (DWT). The proposed structure involves regular data-flow and does not require frame-buffer, and calculates DWT levels concurrently. A theoretical comparison shows that the proposed structure for J = 2 involves 1.25 times more multipliers and adders, 2N more registers than those of existing folded block-based structure and offers 1.25 times higher throughput, where N is the input-image width. Compared with similar existing parallel structure, the proposed structure requires the same number of multipliers and adders, 2.125N less registers and offers the same throughput rate. Application specific integrated circuit synthesis result shows that the core of the proposed structure for 2-level DWT and image size (512 × 512) involves 41% less area-delay-product and 36% less energy-per-image than those of similar existing parallel structure.
机译:在本文中,我们提出了一种新颖的调度方案,该方案可为并行结构的后续处理单元生成连续的输入块,以在不进行块折叠的情况下实现100%的硬件利用率。基于提出的方案,我们推导了用于多级提升二维离散小波变换(DWT)的并行和流水线结构。所提出的结构涉及规则的数据流,并且不需要帧缓冲,并且可以同时计算DWT级别。理论上的比较表明,与现有的基于折叠块的结构相比,针对J = 2提出的结构涉及的乘法器和加法器要多1.25倍,寄存器要多2N,并且吞吐量要高1.25倍,其中N是输入图像宽度。与类似的现有并行结构相比,拟议的结构需要相同数量的乘法器和加法器,少2.125N的寄存器并提供相同的吞吐率。专用集成电路的综合结果表明,所提出的结构的2级DWT和图像尺寸(512×512)的核心比现有的同类产品少41%的面积延迟积和36%的每幅图像能量平行结构。

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