The 3-Channel Orthogonal Perfect Reconstruction Filter Bank for Image Denoising

ZHANG Yu-hua; WANG Xin

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The 3-Channel Orthogonal Perfect Reconstruction Filter Bank for Image Denoising

更新时间：2025-07-16

- The 3-Channel Orthogonal Perfect Reconstruction Filter Bank for Image Denoising
- Acta Electronica Sinica Vol. 36, Issue 2, Pages: 376-380(2008)
- 作者机构：
  
  1. 山东大学医学院,山东,济南,250012
  2. 山东大学信息科学与工程学院,山东,济南,250100
  3. 山东大学医学院山东济南,250012
  4. 山东大学信息科学与工程学院山东济南,250100
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2008
- 稿件说明：
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ZHANG Yu-hua, WANG Xin. The 3-Channel Orthogonal Perfect Reconstruction Filter Bank for Image Denoising[J]. Acta Electronica Sinica, 2008, 36(2): 376-380.
DOI：

ZHANG Yu-hua, WANG Xin. The 3-Channel Orthogonal Perfect Reconstruction Filter Bank for Image Denoising[J]. Acta Electronica Sinica, 2008, 36(2): 376-380. DOI：

摘要

小波变换作为一种多尺度信号分析方法

在图像处理中得到了重要的应用.图像处理的一个重要研究方向就是去噪.由于图像含有大量的边缘

因此用于图像处理的小波基必须具有良好的边缘检测性能和较强的平滑噪声能力.但是

目前还难以找到具有这样特性的正交小波基.本文利用信号的多相位表示理论

提出了一种基于Haar小波的三通道正交完全重建滤波器组

并推导出它在图像去噪中的软门限方法.试验表明

该滤波器组用于图像去噪可以得到很好的结果.

Abstract

As a new tool of signal analysis

wavelet transform has been successfully used in image processing.One of the most important fields of image processing is denoising.Since image contains plenty of edges

the wavelet basis used in image denoising should have the nice properties of edge-preserving and noise-smoothing.However

it is difficult to find such a wavelet basis.In this paper

based on the theory of multi-phase representation of signal

a 3-channel orthogonal perfect reconstruction filter bank is designed and the corresponding soft thresholding algorithm used in image denoising is deduced too.Examples show that the proposed filter bank is effective in image denoising.

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Tools

Publicity Resources

Contrast-Based Multiresolution Image Fusion

Application of Wavelet Analysis for Detecting the Arrival Time of Scattered Wave and Denoising

Regular Transformation of Image and Fast Adaptive Filtering

Lightweight MR Image Reconstruction Network Based on Wavelet Domain Complex Convolution and Complex Transformer

FD-GAN: Frequency-Decomposed Generative Adversarial Network for Unpaired Underwater Image Enhancement

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Related Institution

Department of Optoelectronic Engineering,Beijing Institute of Technology

Dept.of Information & Control Eng.,Xi’an Jiaotong Univ.

Institute of Artificial Intelligence and Robotics,Xi’an Jiaotong University

School of Information & Science and Engineering, Yanshan University

School of Mathematics and Information Science & Technology, Hebei Normal University of Science & Technology

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