Novel Image Multiscale Geometric Transform and Its Applications

孙文方; 宋蓓蓓; 赵亦工

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Novel Image Multiscale Geometric Transform and Its Applications

更新时间：2025-12-08

- Novel Image Multiscale Geometric Transform and Its Applications
- Vol. 41, Issue 8, Pages: 982-985(2007)
- 作者机构：
  
  西安电子科技大学电子工程学院,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Online First：10 August 2007，
  
  Published：2007
- 稿件说明：
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孙文方, 宋蓓蓓, 赵亦工. Novel Image Multiscale Geometric Transform and Its Applications[J]. 2007, 41(8): 982-985.
DOI：

孙文方, 宋蓓蓓, 赵亦工. Novel Image Multiscale Geometric Transform and Its Applications[J]. 2007, 41(8): 982-985. DOI：

摘要

提出了一种新颖的图像多尺度几何变换方法

主要由预处理、方向滤波器组和最优方向小波变换等组成.方向滤波器组将预处理后的高频分量分解为多个方向子带

然后每个方向子带执行改进的最优方向小波变换.该变换兼有Bandelet变换和Contourlet变换的多尺度几何分析特性

能更稀疏地表示边缘和纹理特征.分别将EBCOT编码和硬阈值去噪应用到图像变换系数中

从而实现了有效的图像压缩和去噪

很好地保护了图像细节.实验结果表明

对于纹理和边缘丰富的图像

所提出的图像压缩和去噪方法在视觉质量上明显优于基于Bandelet或Contourlet变换的方法

峰值信噪比也提高了0.1 dB以上.

Abstract

A novel image multiscale geometric transform method is proposed. It is composed of pre-processing

directional filterbank and optimized directional wavelet transform. After pre-processing the image

the high frequency components are decomposed into several directional subbands by directional filterbank

and the modified optimized-directional wavelet transform is performed for each directional subband. The transform has the characteristics of multiscale geometric analysis of both Bandelet and Contourlet transforms

and it represents the edges and texture features more sparsely. The EBCOT coder and hard-threshold denoising are applied to the transform coefficients individually so as to realize efficient image compression and denoising and preserve the image details well. The experiments show that the proposed image compression and denoising method can significantly outperform those that are based on Bandelet or Contourlet transform in visual quality for the images with abundant edges and texture

and the peak signal to noise ratio is also increased by more than 0.1 dB.

关键词

Keywords

references

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孙文方,赵亦工,宋蓓蓓. 基于第二代Bandelets变换的静止图像压缩[J]. 西安交通大学学报, 2006, 40(8): 950-954.

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宋蓓蓓,许录平,孙文方. 一种基于小波的Contourlet变换的图像压缩算法[J]. 西安交通大学学报, 2007, 41(4): 479-483.

Song Beibei, Xu Luping, Sun Wenfang. Image compression algorithm using wavelet-based Contourlet transform [J]. Journal of Xi'an Jiaotong University, 2007,41(4): 479-483.

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