A Novel Mehod for Image Enhancement of Medical Images Based on  Wavelet Phase Filter and Nonlinear Human Visual Properties

Xu Lei; Zheng Xiaoxiang

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A Novel Mehod for Image Enhancement of Medical Images Based on Wavelet Phase Filter and Nonlinear Human Visual Properties

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- A Novel Mehod for Image Enhancement of Medical Images Based on Wavelet Phase Filter and Nonlinear Human Visual Properties
- Acta Electronica Sinica Issue 9, Pages: 121-123(1999)
- 作者机构：
  
  1. 浙江大学生命科学与医学工程学系,浙江,310027
  2. 解放军第117医院,浙江,310025
  3. 浙江大学生命科学与医学工程学系!浙江310027解放军第117医院,浙江,310025
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：1999
- 稿件说明：
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[1]许雷,郑筱祥,陈兴灿.一种基于小波相位滤波及视觉非线性的医学图像自适应增强新方法[J].电子学报,1999(09):121-123.

Xu Lei, Zheng Xiaoxiang. A Novel Mehod for Image Enhancement of Medical Images Based on Wavelet Phase Filter and Nonlinear Human Visual Properties[J]. Acta Electronica Sinica, 1999, (9): 121-123.
[1]许雷,郑筱祥,陈兴灿.一种基于小波相位滤波及视觉非线性的医学图像自适应增强新方法[J].电子学报,1999(09):121-123. DOI：

Xu Lei, Zheng Xiaoxiang. A Novel Mehod for Image Enhancement of Medical Images Based on Wavelet Phase Filter and Nonlinear Human Visual Properties[J]. Acta Electronica Sinica, 1999, (9): 121-123. DOI：

摘要

针对经典方法对ＳＮＲ低的医学图像存在噪声过度放大及伪像产生问题，本文在精细尺度上，根据信号与噪声的ＷＴ相位在相继尺度上关联性的不同进行去噪．在大尺度上，则采用Ｓｅｍｉｓｏｆｔ阈值法对ＤＷＴ系数进行快速缩减去噪．根据人眼的视觉特性对ＷＴ系数的增益进行非线性的自适应控制．较之经典方法，本文方法具有增强图像视觉效果佳，无伪像产生的优点．且在噪声抑制、保边沿及增强各种细节上效果良好．

Abstract

The goal of this research was to present an approach which address both de noising and contrast enhancement.1)2D wavelet transform （WT）.2)At finer scales

wavelet phase filter was used in WT domain to reduce noise and at coarse scales

and semisoft wavelet shrinkage technique was used to furtrher reduce noise.3)Based on human visual properties

the coefficients of 2D WT of image were emphasized by a generalized adaptive gain nonlinear operator.4)Image reconstruction.Preliminary results show that the proposed approach can make unseen or barely seen features of an image more obvious without generating artifacts and enhance the contrast of region of interest in images while reducing the enhancement of noise.

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