4f System Image Denoising in NSCT Domain Based On the Continuity of Image Texture*

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4f System Image Denoising in NSCT Domain Based On the Continuity of Image Texture*

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- 4f System Image Denoising in NSCT Domain Based On the Continuity of Image Texture*
- Optics and Precision Engineering Vol. 18, Issue 3, Pages: 748-755(2010)
- 作者机构：
  
  重庆大学通信工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： O438.2
- Received：20 May 2009，
  
  Revised：18 August 2009，
  
  Published Online：22 March 2010，
  
  Published：22 March 2010
- 稿件说明：
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徐鑫. 基于图像纹理连续性的4f系统图像NSCT域去噪*[J]. 光学精密工程, 2010,18(3):748-755

4f System Image Denoising in NSCT Domain Based On the Continuity of Image Texture*[J]. Optics and precision engineering, 2010, 18(3): 748-755.
徐鑫. 基于图像纹理连续性的4f系统图像NSCT域去噪*[J]. 光学精密工程, 2010,18(3):748-755 DOI：

4f System Image Denoising in NSCT Domain Based On the Continuity of Image Texture*[J]. Optics and precision engineering, 2010, 18(3): 748-755. DOI：

摘要

4f系统同时有噪声和低通特性，为对其输出图像除噪的同时保护图像细节，提出一种结合图像纹理连续性的NSCT域去噪方法。在传统NSCT域硬阈值去噪方法基础上，首先对高频子带图像用较小的阈值去除小幅值的噪声点，以更多的保护图像细节并凸显剩下的大幅值噪声点的孤立性，再利用图像纹理的连续性区分剩下的连续图像细节和孤立噪声点，以实现去噪的同时更好地保护细节的目的。实验表明，该方法在去噪方面可以达到与传统方法相当的程度，同时在保护图像细节方面有更优的表现，从视觉效果和数值评判标准两方面都有明显提高，适合4f系统图像类需要格外保护图像细节的场合。

Abstract

4f system has the characters of noise and low-pass

to remove the noise and protect the image texture of its output images

a method is proposed. Different with the classic hard threshold denoise method in NSCT domain

it adopts a smaller threshold to remove the small amplitude noise to protect the image detail better and protrude the remanent big amplitude noise

then uses the continuity of image texture to remove the large amplitude isolated noise from the consecutive image detail in the high-frequency sub-band images. Eventually the noise is removed and the image detail is protected in the same time. Experiments show that the method can reach the same degree with classic methods in denoising

and is better than classic method in protecting image detail in view of vision and numerical judgment standard. It is more suitable for the situation as the 4f system which needs protect the image detail extraordinarily.

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Publicity Resources

Analysis of influence factors of resolution in high-resolution 4f imaging system

Image denoising with dual-directional filter bank GSM model and non-local mean filter

Adaptive image enhancement based on NSCT coefficient histogram matching

Image denoising using non-Gaussian bivariate model based on non-aliasing Curvelet transform

Related Author

XIA Chun-qiu

ZHONG Xing

LIU Chun-yu

HAN Pei-xian

JIN Guang

Xing ZHONG

Chun-qiu XIA

Guang JIN

Related Institution

Changchun Satellite Technology Co. LTD, Changchun 130031, China

Changchun Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Changchun 130033, China

University of Chinese Academy of Sciences, Beijing 100049, China

Changchun Institute of Optics and Fine Mechanics, Chinese Academy of Sciences

Changchun Satellite Technology Co. LTD

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