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Enhanced multi-level filter algorithm and its VLSI architecture

机译:增强型多级滤波器算法及其VLSI架构

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摘要

This paper presents an enhanced multi-level filter algorithm and its Very Large Scale Integration (VLSI) architecture for infrared image processing. The modified multi-level filter algorithm resolves the splitting targets problem using Gaussian pyramid processing. Owning three filtering paths, the proposed VLSI architecture of the filter can simultaneously enhance small targets with different sizes in infrared images. Some design techniques in implementing hardwired multiplication, subsample and asynchronous FIFO have been presented. This VLSI architecture has been implemented using Semiconductor Manufacturing International Corporation (SMIC) 0.35 μm 4-layer CMOS technology. The simulation results show that it not only effectively suppresses background, eliminates noise and enhances small targets in an infrared image comparing with other small target detective methods, but also meets infrared image real-time processing requirements (5M~10M pixels/s). The implemented filter chip consists of 60,284 gates and 8 K Static Random Access Memory (SRAM), operates at 50 MHz.
机译:本文提出了一种增强的多级滤波算法及其用于红外图像处理的超大规模集成(VLSI)体系结构。改进的多级滤波器算法使用高斯金字塔处理解决了分割目标问题。所提出的滤波器的VLSI结构具有三个滤波路径,可以同时增强红外图像中具有不同大小的小目标。提出了实现硬连线乘法,子采样和异步FIFO的一些设计技术。此VLSI体系结构已使用国际半导体制造公司(SMIC)0.35μm4层CMOS技术实现。仿真结果表明,与其他小目标检测方法相比,该方法不仅可以有效地抑制背景,消除噪声,增强红外图像中的小目标,还可以满足红外图像实时处理的要求(5M〜10M像素/ s)。实施的滤波器芯片由60,284门和8 K静态随机存取存储器(SRAM)组成,工作于50 MHz。

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