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VLSI Architecture of Switching Median Filter for Salt and Pepper Noise Removal

机译:开关中值滤波器用于去除盐和胡椒粉噪声的VLSI架构

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摘要

In this paper, VLSI architecture of new switching based median filter to remove high density salt and pepper noise in digital images is proposed. The absolute difference between center pixel and the median of trimmed array obtained from a 3 × 3 sliding window is compared with the predefined threshold value to identify the pixel is noisy or not. In the filtering stage, the noisy pixels are replaced by median of noise free pixels in the 3×3 filtering window. The experimental results for various test images show that the performance of the proposed algorithm is superior to existing algorithms, namely SMF, ACWMF, TMF, PWMAD, ARWMF, REBF, MDBUTMF and NAWMF in terms of visual quality and edge preservation. The proposed algorithm is also implemented with VHDL and simulated using Xilinx 10.1. The quantitative analysis in terms of logic elements, power and delay are observed in Altera Quartus Ⅱ and compared with existing state of art algorithms, namely SMF, DBA, Parallel sorting, REBF, MDBUTMF and NAWMF.
机译:本文提出了一种新的基于开关的中值滤波器的VLSI架构,以消除数字图像中的高密度盐和胡椒噪声。将中心像素与从3×3滑动窗口获得的修剪后的数组的中位数之间的绝对差与预定义的阈值进行比较,以识别该像素是否有噪声。在滤波阶段,将噪声像素替换为3×3滤波窗口中的无噪声像素的中值。各种测试图像的实验结果表明,该算法在视觉质量和边缘保留方面均优于现有算法,即SMF,ACWMF,TMF,PWMAD,ARWMF,REBF,MDBUTMF和NAWMF。所提出的算法也可以用VHDL实现,并使用Xilinx 10.1进行仿真。在Altera QuartusⅡ中对逻辑元素,功率和延迟进行了定量分析,并将其与现有的现有算法SMF,DBA,并行排序,REFF,MDBUTMF和NAWMF进行了比较。

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