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

B. K. Mohanty, Anurag Mahajan
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引用次数: 2

Abstract

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, 2 N 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, 2.125 N 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.
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不使用帧缓冲的多级提升二维离散小波变换调度方案及并行结构
在本文中,我们提出了一种新的调度方案,为并行结构的后续处理单元生成连续的输入块,以实现100%的硬件利用效率(HUE),而不会折叠块。在此基础上,推导出了一种多级提升二维离散小波变换(DWT)的并行管道结构。该结构涉及常规数据流,不需要帧缓冲,并可并发计算DWT级别。理论比较表明,J = 2的结构涉及1.25倍的乘法器和加法器,比现有的基于折叠块的结构多2n个寄存器,并提供1.25倍的吞吐量,其中N为输入图像宽度。与现有类似的并行结构相比,该结构需要相同数量的乘法器和加法器,减少2.125 N寄存器,并提供相同的吞吐率。具体应用的集成电路合成结果表明,对于2级DWT和图像尺寸(512 × 512),所提出的结构的核心比现有的类似并行结构减少了41%的面积延迟积和36%的每张图像能量。
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