Switching non-local vector median filter
Switching non-local vector median filter
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DOI：
10.1007/s10043-016-0184-z
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发表时间：
2016-04-01
期刊：
影响因子：
1.2
通讯作者：
Uchino, Eiji
中科院分区：
文献类型：
--
作者：
Matsuoka, Jyohei;Koga, Takanori;Uchino, Eiji
本文提出了一种新的图像滤波方法，去除叠加在自然彩色图像上的随机值脉冲噪声。在脉冲噪声去除中，必须采用开关型滤波方法，如在众所周知的开关中值滤波器中所使用的，以良好的质量保留原始图像的细节。在彩色图像滤波中，通常优选的是将彩色图像的每个像素的红（R）、绿色（G）和蓝（B）分量作为矢量化信号的元素来处理，如在公知的矢量中值滤波器中那样，而不是作为分量式信号来处理，以防止滤波后的色移。通过考虑这些基本原理，我们提出了一个开关型矢量中值滤波器的非局部处理，主要由一个噪声检测器和噪声去除滤波器。具体地说，我们提出了一种噪声检测器，它通过关注感兴趣像素的隔离趋势（不是输入图像中的像素，而是RGB分量之间的差异图像中的像素）来主动检测噪声损坏的像素。此外，作为噪声去除滤波器，我们提出了一个扩展版本的非局部中值滤波器，我们以前提出的灰度图像处理，命名为非局部矢量中值滤波器，这是专为彩色图像处理。所提出的方法实现了一个上级之间的平衡，保护细节和脉冲噪声去除前摄噪声检测和非局部开关矢量中值滤波，分别。在一系列自然彩色图像的实验中，验证了该方法的有效性和有效性。
This paper describes a novel image filtering method that removes random-valued impulse noise superimposed on a natural color image. In impulse noise removal, it is essential to employ a switching-type filtering method, as used in the well-known switching median filter, to preserve the detail of an original image with good quality. In color image filtering, it is generally preferable to deal with the red (R), green (G), and blue (B) components of each pixel of a color image as elements of a vectorized signal, as in the well-known vector median filter, rather than as component-wise signals to prevent a color shift after filtering. By taking these fundamentals into consideration, we propose a switching-type vector median filter with non-local processing that mainly consists of a noise detector and a noise removal filter. Concretely, we propose a noise detector that proactively detects noise-corrupted pixels by focusing attention on the isolation tendencies of pixels of interest not in an input image but in difference images between RGB components. Furthermore, as the noise removal filter, we propose an extended version of the non-local median filter, we proposed previously for grayscale image processing, named the non-local vector median filter, which is designed for color image processing. The proposed method realizes a superior balance between the preservation of detail and impulse noise removal by proactive noise detection and non-local switching vector median filtering, respectively. The effectiveness and validity of the proposed method are verified in a series of experiments using natural color images.