High performance multiplier-less pipelined FPGA architecture for 2-D non-separable quaternionic filter banks

Eugene V. Rybenkov, N. Petrovsky
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引用次数: 0

Abstract

This paper presents a systematic design of the 2-D non-separable quaternionic paraunitary filter banks $(Q -$PUFB) based on the integer-to-integer invertible quaternionic multiplier applied to image processing. In order to achieve higher transform coding gains in multidimensional domain with relatively low-complexity implementation, orthogonal transform 8-channel $Q -$PUFB factorize into two-dimensional non-separable structures called ”64in-64out” (2D NS $Q -$PUFB). The given structures can be mapped directly to parallel-pipelined processor architecture with minimal latency time $4 (N +1)$ quaternion multiplication operations, where N is transform order of $Q -$PUFB. The latency of parallel-pipelined processing does not depend on the size of the original image. Experimental design results on resource utilization and total throughput are obtained using a Xilinx Ultrascale + FPGA Series. System prototype total throughput variates from 13.8 up to 55 million pixels per second and depends on fixed point constraints.
二维不可分四元数滤波器组的高性能无乘法器流水线FPGA架构
提出了一种基于整数到整数可逆四元数乘法器的二维不可分离四元数准酉滤波器组$(Q -$PUFB)的系统设计。为了在多维域以相对较低的复杂度实现更高的变换编码增益,将正交变换8通道$Q -$PUFB分解为二维不可分结构,称为“64in-64out”(2D NS $Q -$PUFB)。给定的结构可以直接映射到并行流水线处理器体系结构,具有最小的延迟时间$4 (N +1)$四元数乘法运算,其中N为$Q -$PUFB的变换顺序。并行流水线处理的延迟不依赖于原始图像的大小。利用Xilinx Ultrascale + FPGA系列获得了资源利用率和总吞吐量的实验设计结果。系统原型的总吞吐量从每秒13.8到5500万像素不等,并取决于固定点约束。
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