一类选择性带通CNN线性滤波器

R. Matei
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引用次数: 0

摘要

本文介绍了在cnn上实现的一类线性空间滤波器的设计方法。目的是用最小尺寸的模板实现选择性带通滤波器。设计过程依赖于一维HR低通和带通原型滤波器,我们实现了不同类型的二维带通滤波器,基本上属于两类,即圆对称滤波器(基于LP-BP变换)和可分离滤波器。仿真结果说明了这些滤波器对真实灰度图像的处理能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A class of selective band-pass CNN linear filters
In this paper we introduce a design method for a class of linear spatial filters implemented on CNNs. The aim is to realize selective band-pass filters with templates of minimum-size. The design procedure relies on 1D HR low-pass and band-pass prototype filters, from which we realize different types of 2D band-pass filters, basically belonging to two classes, namely filters with circular symmetry (based on a LP-BP transformation) and separable filters. Simulation results are provided which illustrate the capabilities of these filters on a real grayscale image.
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