A Switching Bilateral Filter for Images with Edge Preservation Properties

摘要：

In this paper, we propose a Switching Bilateral Filter for universal noise removal. The algorithm contains two stages: detection followed by filtering. We propose a new scheme called as Quadrant Median Vector, which contains important features like edges and fine details. The Quadrant Median Vector is utilized to allocate a Reference Median which is in turn com pared witb a current pixel to classify it as impulse noise, Gaussian noise, or noise-free. The proposed switching bilateral filter removes both Gaussian and impulse noise witbout using additional weighting function. The range filter inside the bilateral filter switches between the Gaussian and impulse modes depending on the noise classification result Sim ulation results show that our noise detector has a high noise detection rate as well as a high classification rate for salt-and-pepper, uniform impulse noise and mixed impulse noise. Id addition, the computational complexity of SBF is significantly less than that of other mixed noise filters.

关键词： Non-linear Filters Switching Bilateral Filter Quadrant Median Vector Reference Median Universal filter Gaussian noise Impulse noise

作者: V.Jayaraj D.Ebenezer N.Krishna Prakash

作者单位: Digital Signal Processing Lab.Department of ECE,Sri Krishna College of Engg. & Tech Coimbatore, Tamilnadu, India

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 435-439

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）