计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (25): 182-185.

• 图形、图像、模式识别 • 上一篇    下一篇

类型2模糊系统模型组合的噪声滤波器

王双双,王士同,李岳阳   

  1. 江南大学 信息工程学院,江苏 无锡 214122
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-09-01 发布日期:2011-09-01

New noise filter based on combination of Type-2 fuzzy system models

WANG Shuangshuang,WANG Shitong,LI Yueyang   

  1. School of Information Technology,Jiangnan University,Wuxi,Jiangsu 214122,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-09-01 Published:2011-09-01

摘要: 通过对区间类型2模糊系统(interval Type-2 FLS)和高斯类型2模糊系统(Gaussian Type-2 FLS)进行组合,提出了适合图像脉冲噪声滤波的TFLS滤波器。用噪声密度不同的数字图像测试TFLS滤波器的性能,同时与区间类型2模糊系统FLS滤波器等进行对比。实验结果表明:TFLS滤波器在去除图像的脉冲噪声的同时,能较好地保留图像中的边缘细节信息,较显著改善图像视觉质量,客观评价指标PSNR值也有较明显提高。

关键词: 图像去噪, 脉冲噪声, 滤波器, Type-2模糊系统

Abstract: Based on the combination of interval Type-2 fuzzy systems and Gaussian Type-2 fuzzy systems,a novel TFLS filter is presented for filtering impulse noise in images.The performance of the proposed TFLS filter is evaluated for different test images corrupted at various noise densities and also compared with other impulse noise filters.The experimental results show that the proposed TFLS filter outperforms other filters in suppressing Gaussian noise while at the same time effectively preserving edges,texture,and other useful information within the image.

Key words: image denoising, impulse noise, filter, Type-2 fuzzy system