基于噪声检测的图像去噪算法  

An Image Denoising Algorithm Based on Noise Detection

作　　者：金良海[1] 李德华[1] 

机构地区：[1]华中科技大学图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室,武汉430074

出　　处：《模式识别与人工智能》2008年第3期298-302,共5页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.69775022);国家863计划项目(No.863-306-ZT04-06-3)资助

摘　　要：提出一种图像去噪算法.首先利用4个方向算子来将图像像素分类成噪声像素和信号像素,然后设计一个基于中值的、权值自适应调整的、加权类型的中值滤波器来去除和恢复检测到的噪声像素,而保留信号像素不变.实验结果表明,新的滤波算法在高效去除冲击噪声的同时还能较好地保护图像细节信息,其滤波性能胜过传统的中值滤波器及其它一些典型的和最近开发的改进型中值滤波器.An efficient image denoising algorithm is introduced. Firstly, image pixels are classified into noisy pixels and noise-free pixels by four directional operators. Then an adaptive weighted median filter is designed to remove and restore the detected noisy pixels and keep the noise-free ones unchanged. Experimental results indicate that the proposed algorithm preserves image details well while removing impulsive noise efficiently, and its filtering performance is significantly superior to the classical median filter and some other typical and recently developed improved median filters.

关 键 词：加权的中值滤波器 冲击噪声检测 灰度图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]