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Reconfigurable architecture of adaptive median filter — An FPGA based approach for impulse noise suppression

机译:自适应中值滤波器的可重构体系结构—一种基于FPGA的脉冲噪声抑制方法

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In this paper, low complexity reconfigurable hardware architecture for adaptive median filter is proposed and a comparative study of hardware based median and adaptive median filter is presented. An efficient development of median & adaptive median filter is presented for removal of impulse noise mainly salt & pepper noise from digital Images. Performance measurement of mean square error (MSE) and peak signal-to-noise ratio (PSNR) is done to compare these two filters. This paper proposes hardware implementation which is highly required for real time execution. Field Programmable Gate Arrays (FPGAs) are widely used for real time processing where the requirements of time, speed, area, power become strict. The algorithms of these two filters are discussed in detail which is followed by FPGA based solutions. Simulation is done using Xilinx ISE 14.5 software of XILINX platform where the implementations utilize on Genesys VERTEX V FPGA Board of XC5VLX50T device family.
机译:本文提出了一种适用于自适应中值滤波器的低复杂度可重构硬件架构,并对基于硬件的中值和自适应中值滤波器进行了比较研究。提出了一种有效的中值和自适应中值滤波器开发方法,用于从数字图像中去除脉冲噪声(主要是盐和胡椒噪声)。进行均方误差(MSE)和峰值信噪比(PSNR)的性能测量以比较这两个滤波器。本文提出了实时执行非常需要的硬件实现。现场可编程门阵列(FPGA)广泛用于对时间,速度,面积,功率要求严格的实时处理。将详细讨论这两个滤波器的算法,然后是基于FPGA的解决方案。使用XILINX平台的Xilinx ISE 14.5软件进行了仿真,该实现在XC5VLX50T器件系列的Genesys VERTEX V FPGA板上使用。

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