边缘加权图像增强滤波器的级联结构

K. Aoki, M. Nakashizuka
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引用次数: 1

摘要

本文提出了一种新的边缘加权高通滤波器的结构和权函数的设计方法。一种广泛应用的图像增强方法是放大图像的高频分量,增强边缘的亮度差。这种方法,通常被称为非尖锐掩蔽法,允许用简单的结构获得增强效果。如果使用线性高通滤波器作为从输入图像中提取高频分量的方法,则叠加在图像上的噪声分量会出现在高通滤波器输出中并得到增强。为了解决这一问题,将由边缘特征定义的权函数与高通滤波器相乘,使高通滤波器输出的幅度在平面图像区域得到抑制。然而,在传统的边缘加权高通滤波器中,强烈强调在边缘坐标上产生的噪声分量。因此,输出图像的边缘坐标波动不规则,帧线出现不连续。为了抑制边缘坐标上的噪声分量,提出了一种新的边缘加权高通滤波器结构。在这种结构中,高通滤波器被分解成级联连接。加权函数乘以前一阶段的过滤器输出。此外,为了抑制噪声放大,权函数被定义为边缘特征测度的线性和。通过对噪声放大的统计分析,得到了使输出噪声方差最小的权函数参数。通过与传统图像增强方法的实验比较,验证了该方法的有效性。©2007 Wiley期刊公司电子工程学报,2009,35 (6):557 - 557;在线发表于Wiley InterScience (www.interscience.wiley.com)。DOI 10.1002 / ecjc.20240
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A cascade configuration of the edge‐weighted image enhancement filter
In this paper, a new configuration of the edge-weighted high-pass filter and a design method for the weight function are proposed. A widely used image enhancement method is to amplify the high-frequency components of the image and to intensify the brightness differential of the edges. This method, generally called the unsharp masking method, allows enhancement effects to be obtained with a simple structure. If a linear high-pass filter is used as a method of extracting the high-frequency components from the input image, the noise components superimposed on the image appear in the high-pass filter output and are enhanced. In order to resolve this problem, a weight function defined from the edge characteristics is multiplied by the high-pass filter so that the amplitude of the high-pass filter output is suppressed in the flat image region. However, in the conventional edge-weighted high-pass filter, the noise components generated on the edge coordinates are strongly emphasized. Therefore, the edge coordinates of the output image fluctuate irregularly and discontinuities appear in the frame lines. In this investigation, in order to suppress the noise components on the edge coordinates, a new edge-weighted high-pass filter structure is proposed. In this structure, the high-pass filter is decomposed into cascaded connections. The weighting function is multiplied by the filter output from the previous stage. Further, in order to suppress noise amplification, the weight function is defined as a linear sum of the edge characteristic measures. By statistical analysis of the noise amplification, the parameters of the weight function minimizing the output noise variance are obtained. The proposed image enhancement method is experimentally compared with the conventional method and its effectiveness is confirmed. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(6): 37– 47, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20240
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