| 注册
首页|期刊导航|中南民族大学学报(自然科学版)|基于最大后验概率的la范数去噪方法

基于最大后验概率的la范数去噪方法

宁娣 岳晨曦

中南民族大学学报(自然科学版)2017,Vol.36Issue(1):128-131,4.
中南民族大学学报(自然科学版)2017,Vol.36Issue(1):128-131,4.

基于最大后验概率的la范数去噪方法

Denoising Method Based on the MAP with la Norm

宁娣 1岳晨曦1

作者信息

  • 1. 中南民族大学 数学与统计学学院,武汉 430074
  • 折叠

摘要

Abstract

In the paper, from the observation model and a priori model, the problem of image denoising is discussed, and how to find a balance between edge protection and image denoising is analyzed in depth.In addition, aiming at the advantages and disadvantages of TV prior model on the edge protection and texture protect, the new denoising method named la norm based on Maximum A Posteriori Probability(MAP) is put forward.This method provides better protection of the edge of the image.Furthermore, the staircase effect in smooth regions is reduced.Numerical simulations are further provided to verify the feasibility and effectiveness of the theoretical results.

关键词

图像去噪/la范数模型/TV范数模型/小波去噪/最大后验概率

Key words

image denoising/la norm model/TV norm model/wavelet denoising/MAP

分类

信息技术与安全科学

引用本文复制引用

宁娣,岳晨曦..基于最大后验概率的la范数去噪方法[J].中南民族大学学报(自然科学版),2017,36(1):128-131,4.

基金项目

全国统计科学研究项目(2014LY020) (2014LY020)

中南民族大学学报(自然科学版)

OACSTPCD

1672-4321

访问量0
|
下载量0
段落导航相关论文