A new algorithm for face image denoising

SHEN Qian-li; CHEN Xiao; ZHI Ya-jing; CAI Ting-ting

doi:10.13873/J.1000-9787(2015)11-0133-04

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A new algorithm for face image denoising

更新时间：2025-09-11

- A new algorithm for face image denoising
- Vol. 34, Issue 11, Pages: 133-136(2015)
- 作者机构：
  
  1. 南京信息工程大学电子与信息工程学院
  2. 南京信息工程大学大气环境与装备技术协同创新中心
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)11-0133-04
  CLC： TP391.41
- Published：2015
- 稿件说明：
移动端阅览
[1]沈千里,陈晓,支亚京,蔡婷婷.一种新的人脸图像去噪算法[J].传感器与微系统,2015,34(11):133-136.

SHEN Qian-li, CHEN Xiao, ZHI Ya-jing, et al. A new algorithm for face image denoising[J]. 2015, 34(11): 133-136.
[1]沈千里,陈晓,支亚京,蔡婷婷.一种新的人脸图像去噪算法[J].传感器与微系统,2015,34(11):133-136. DOI： 10.13873/J.1000-9787(2015)11-0133-04.

SHEN Qian-li, CHEN Xiao, ZHI Ya-jing, et al. A new algorithm for face image denoising[J]. 2015, 34(11): 133-136. DOI： 10.13873/J.1000-9787(2015)11-0133-04.

摘要

为了解决现有方法的去噪程度不彻底、纹理细节失真度较大等问题

提出自适应加权向量滤波法。该方法将含噪图像分成若干处理块

通过扫描将与中心像素不同的像素点集中存储在一个行（列）向量中

提取出其最大值、最小值与中值后与每一个待测图的像素点比较

根据不同结果

定义变量、加权原像素值、最值和中值

重构每一个像素点

合成新图。实验表明:该方法在处理不同类型图像的去噪性能和纹理保护方面的能力有提升

具有很强的自适应性。

Abstract

In order to solve problems of incomplete denoising and large distortion of texture details

etc

put forward an adaptive weighted vector filtering method. This method divides noise image into several blocks

by scanning method

pixel points which are different from the center pixels are stored in one row（ column） vector

extract the maximum

the minimum value and median and compared with each pixel point to be test

define variable

weighting the original pixel values

the maximum

the minimum value and median

reconstruct each pixel point to make a new image. Experiments show the progress of denoising and texture protection of the method in processing different types of images

meanwhile

it has strong adaptivity.

关键词

Keywords

references

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