计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 203-206.

• 模式识别与图像处理 • 上一篇    下一篇

改进型插值IELAD算法在图像去噪中的应用

范胜娟,张有会,王志巍,董蕊,曹萌   

  1. 河北师范大学数学与信息科学学院 石家庄050024;河北省计算数学与应用重点实验室 石家庄050024;河北师范大学数学与信息科学学院 石家庄050024;河北省计算数学与应用重点实验室 石家庄050024;河北师范大学数学与信息科学学院 石家庄050024;河北省计算数学与应用重点实验室 石家庄050024;河北交通职业技术学院基础教学部 石家庄050091;河北师范大学数学与信息科学学院 石家庄050024;河北省计算数学与应用重点实验室 石家庄050024
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金资助

Application of Improved Interpolation IELAD Algorithm in Image Denoising

FAN Sheng-juan,ZHANG You-hui,WANG Zhi-wei,DONG Rui and CAO Meng   

  • Online:2018-11-14 Published:2018-11-14

摘要: 基于视频信号处理中用于场内插值的边缘自适应平均算法(ELA)思想,提出一种针对椒盐噪声图像滤波的改进型边缘自适应平均去噪算法(IELAD)。算法在扩展横向5+5阶ELA窗口的基础上增加了纵向5+5阶ELA窗口。根据噪声点所处边缘方向,自适应地确定窗口及滤波方向进行滤波处理。实验表明IELAD算法充分利用了ELA窗口的保边特性,能够在去除椒盐噪声的同时有效地保持图像的边缘及细节信息。

关键词: IELAD窗口,保持边缘,椒盐噪声,视频信号,ELA插值 中图法分类号TP391.4文献标识码A

Abstract: An ideal image denoising algorithm should preserve details of image while removing the image noises.This article drew on the Edge-based Line Average algorithm (ELA) thinking which is used to venue interpolate in video signal processing and put forward an Improved Edge-based Line Average Denoising algorithm (IELAD) which is used to remove salt-and-pepper noises.In this algorithm,an extended 5+5order vertical-window is added based on the 5+5order horizontal-window.We saw the noise pixels as the interpolating pixels.Then according to the edge direction of the noise,the right window and direction were choosed adaptively for filtering.Experiments show that this method makes full use of the edge-preserving property of ELA window and can effectively remove the salt-and-pepper noises.This algorithm can maintain the edge details of the image and reduce image blur.

Key words: Improved edge-based line average denoising(IELAD) window,Edge-preserving,Salt-and-pepper noise,Videosignal,Edge-based line average(ELA) interpolation

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