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稳健化向量中值滤波器。

Robustifying vector median filter.

机构信息

Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia, Camino de Vera s/n 46022 Valencia, Spain.

出版信息

Sensors (Basel). 2011;11(8):8115-26. doi: 10.3390/s110808115. Epub 2011 Aug 18.

Abstract

This paper describes two methods for impulse noise reduction in colour images that outperform the vector median filter from the noise reduction capability point of view. Both methods work by determining first the vector median in a given filtering window. Then, the use of complimentary information from componentwise analysis allows to build robust outputs from more reliable components. The correlation among the colour channels is taken into account in the processing and, as a result, a more robust filter able to process colour images without introducing colour artifacts is obtained. Experimental results show that the images filtered with the proposed method contain less noisy pixels than those obtained through the vector median filter. Objective measures demonstrate the goodness of the achieved improvement.

摘要

本文提出了两种彩色图像脉冲噪声降低方法,从降噪能力的角度来看,这两种方法均优于矢量中值滤波器。这两种方法首先在给定的滤波窗口中确定矢量中值。然后,通过对分量分析的互补信息的使用,可以从更可靠的分量构建稳健的输出。在处理过程中考虑了颜色通道之间的相关性,因此得到了一种更稳健的滤波器,能够处理彩色图像而不会引入颜色伪影。实验结果表明,用所提出的方法滤波后的图像比用矢量中值滤波器得到的图像含有更少的噪声像素。客观测量证明了所获得的改进的优越性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae10/3231704/aaa9a36648d6/sensors-11-08115f1.jpg

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