利用3×3掩模滤波器的FPGA设计与实现边缘增强

H. Park, J. Jeon
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引用次数: 2

摘要

本文提出了一种利用3×3掩模在FPGA上实现图像滤波模块的方法。3×3掩码滤波器模块的优点是最大限度地减少了内存的使用和从输入到输出的传播延迟。根据3×3掩模滤波模块的系数值,我们可以获得均值滤波、中值滤波、边缘增强等多种图像处理效果。在利用3×3掩模滤波模块应用拉普拉斯滤波增强图像清晰度时,不仅增强了图像的边缘分量,还增强了图像的噪声分量。因此,我们提出了一种利用拉普拉斯滤波的自适应边缘增强方法,该方法是通过分析3×3掩模中像素数据的方差来增强图像中除噪声成分外的边缘成分。将拉普拉斯滤波的自适应边缘增强应用于红外摄像机,并对其效果进行了实验研究。实验结果表明,该方法可以在最小内存占用的情况下实时实现图像的边缘增强。
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FPGA design and implementation of edge enhancement by using 3×3 mask filter
This paper proposes a method to implement an image filtering module by using 3×3 mask on FPGA. The 3×3 mask filter module has an advantage of minimizing a usage of memory and a propagation delay from input to output. Depending on coefficient value of 3×3 mask filter module, we can acquire several image processing effects such as mean filtering, median filtering, and edge enhancement. When we applied Laplacian filter to enhance sharpness of an image by using the 3×3 mask filter module, not only edges components but also noise components of an image were enhanced by Laplacian filter. So we propose an adaptive edge enhancement by using Laplacian filter that is a method to enhance edge components except noise components of an image by analyzing a variance of pixel data in 3×3 mask. We applied the adaptive edge enhancement by using Laplacian filter to an infrared camera and conducted an experiment about its effect. The experimental result proves that the proposed method is effective to implement the edge enhancement of an image with minimum usage of memory in real time.
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