Fpga implementation of optimized sorting network algorithm for median filters

K. Vasanth, S. Raj, S. Karthik, P. P. Mol
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引用次数: 23

Abstract

Median filters commonly used in image processing applications for the removal of impulse noise. Over the years so many median filters such as are separable median filters, recursive median filters, weighted median filters, max-median filters and multistage median filters were developed. Sorting networks are of major concern for real time hardware implementation of filters. Sorting is a computationally expensive operation as it consumes large area, speed and power. In this work, effective VLSI hardware implementation has been proposed as an economical solution for sorting networks in terms of area speed, power. The proposed work uses a new carry select comparator in the first section which uses compare and swap functions and its pipelined version in second section, thereby reducing the complexity of the sorting networks. The proposed Carry select comparator uses one half subractor, 7 full subractor, few multiplexers and inverters. The proposed algorithm will definitely overcome the problems by performing median calculation within 7 clock cycles. This work had been compared with existing carry select logic and its pipelined version occupies which occupies less area, consumes low power and works at 113.225 MHz for the device Devices XC2s100e–7tq144.
中值滤波器优化排序网络算法的Fpga实现
中值滤波器通常用于图像处理应用中去除脉冲噪声。多年来,中值滤波器被开发出来,如可分中值滤波器、递归中值滤波器、加权中值滤波器、最大中值滤波器和多级中值滤波器。排序网络是过滤器实时硬件实现的主要关注点。排序是一个计算昂贵的操作,因为它消耗大量的面积,速度和功率。在这项工作中,有效的VLSI硬件实现已被提出作为一个经济的解决方案,以分类网络在区域速度,功率。本文在第一节中使用了一种新的进位选择比较器,该比较器在第二节中使用了比较和交换函数及其流水线版本,从而降低了排序网络的复杂性。所提出的进位选择比较器使用1个半减量器、7个全减量器、少量多路复用器和逆变器。该算法通过在7个时钟周期内进行中位数计算,绝对可以克服这些问题。该工作与现有进位选择逻辑进行了比较,其流水线版本占地面积小,功耗低,工作频率为113.225 MHz,用于器件XC2s100e-7tq144。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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