节点文献
高密度椒盐噪声图像的二次去噪方法
Two-step Denoising Algorithm to High Density Salt &Pepper Noisy Image
【摘要】 针对高密度的椒盐噪声图像,提出了一种基于中值滤波和均值滤波的高效的二次去噪方法 (Two-Step Denoising Algorithm,TSDA).数值试验表明,TSDA算法在保持图像边缘的同时能高效地去除高密度的椒盐噪声,较SMF方法和NDBA(New Decision-Based Algorithm)方法在检验指标MSE、PSNR和IEF上都有较大改进.
【Abstract】 In order to remove the high density of salt &pepper noise,this paper proposes an efficient two-step denoising algorithm(TSDA),which is based the standard median filtering and the mean filter.Numerical experiment shows that TSDA is able to preserve edges and remove the high density salt &pepper noise efficiently. TSDA has more improvement on MSE,PSNR and IEF than SMF and New Decision-Based Algorithm(NDBA).
【关键词】 高密度;
椒盐噪声;
中值滤波;
均值滤波;
图像去噪;
【Key words】 high density; salt &pepper noise; median filtering; mean filter; image denoising;
【Key words】 high density; salt &pepper noise; median filtering; mean filter; image denoising;
【基金】 国家海洋局数据分析与应用重点实验室开放基金(LDAA-2012-06);中央级公益性科研院所基本科研业务费专项资金(GY02-2011G22)
- 【文献出处】 微电子学与计算机 ,Microelectronics & Computer , 编辑部邮箱 ,2014年06期
- 【分类号】TP391.41
- 【被引频次】2
- 【下载频次】121