Bilateral Filtering in the Wavelet Domain

CAI Chao; DING Ming-yue; ZHOU Cheng-ping; ZHANG Tian-xu

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Bilateral Filtering in the Wavelet Domain

更新时间：2025-07-16

- Bilateral Filtering in the Wavelet Domain
- Acta Electronica Sinica Vol. 32, Issue 1, Pages: 128-131(2004)
- 作者机构：
  
  华中科技大学图像识别与人工智能研究所,教育部信息处理与智能控制重点实验室,湖北,武汉,430074
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2004
- 稿件说明：
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CAI Chao, DING Ming-yue, ZHOU Cheng-ping, et al. Bilateral Filtering in the Wavelet Domain[J]. Acta Electronica Sinica, 2004, 32(1): 128-131.
DOI：

CAI Chao, DING Ming-yue, ZHOU Cheng-ping, et al. Bilateral Filtering in the Wavelet Domain[J]. Acta Electronica Sinica, 2004, 32(1): 128-131. DOI：

摘要

本文首先介绍了小波域中几种常用的滤波方法

分析了双边滤波的性质和特点

在此基础上提出了小波域中的双边滤波.这种方法充分利用了小波分析的时频局部化和多分辨率的特点

使滤波结果的信噪比较高的同时边缘具有较小的模糊.本文的实验结果说明该方法是行之有效的.

Abstract

In this paper

we introduced several noise removing techniques in the wavelet domain

analyzed the properties of bilateral filtering.Following them

bilateral filtering in the wavelet domain was proposed.With this method

the properties of time-frequency localization and multiresolution of wavelets were used.At last

we demonstrated the efficient noise removing and sharpening of object boundaries and detailed structures by applying this image processing technique to different images.

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