Methods and Realization for Removing Inherent Stripe Noises in TDI-CCD Images

ZHAO Bian-hong; HE Bin; YANG Li-hong; WANG Wen-hua; LU Jin-bo

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Methods and Realization for Removing Inherent Stripe Noises in TDI-CCD Images

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Methods and Realization for Removing Inherent Stripe Noises in TDI-CCD Images
- Chinese Journal of Liquid Crystals and Displays Vol. 25, Issue 5, Pages: 752-758(2010)
- 作者机构：
  
  1. 中国科学院研究生院北京,100039
  2. 中国科学院长春光学精密机械与物理研究所,吉林长春 130033,E-mail:yunhan0502@gmail.com
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751
- Received：08 January 2010，
  
  Revised：08 February 2010，
  
  Published Online：28 September 2010，
  
  Published：20 October 2010
- 稿件说明：
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赵变红, 何斌, 杨利红, 王文华, 禄金波. TDI-CCD图像固有条带噪声的消除方法及实现[J]. 液晶与显示, 2010,25(5): 752-758

ZHAO Bian-hong, HE Bin, YANG Li-hong, WANG Wen-hua, LU Jin-bo. Methods and Realization for Removing Inherent Stripe Noises in TDI-CCD Images[J]. 液晶与显示, 2010,25(5): 752-758
赵变红, 何斌, 杨利红, 王文华, 禄金波. TDI-CCD图像固有条带噪声的消除方法及实现[J]. 液晶与显示, 2010,25(5): 752-758 DOI：

ZHAO Bian-hong, HE Bin, YANG Li-hong, WANG Wen-hua, LU Jin-bo. Methods and Realization for Removing Inherent Stripe Noises in TDI-CCD Images[J]. 液晶与显示, 2010,25(5): 752-758 DOI：

摘要

存在于TDI-CCD图像中的条带噪声会影响图像的质量

降低系统的测量精度。针对TDI-CCD图像固有条带噪声的灰度值在原始信息中变化比较缓慢的特点

利用傅里叶变换域内的频谱图映射确定条带噪声频率的方法

分别采用低通、带阻滤波器对条带噪声进行消除。另外

提出了一种改进阈值的小波变换法来消除条带噪声

该方法能在小波分解后各个尺度的垂直方向上自适应地确定阈值。实验结果表明在消除条带噪声方面

改进阈值的小波变换法优于传统的傅里叶变换法。在整个频率域内

改进阈值的小波变换法能够较彻底地消除条带噪声

同时较好地保持了原图像的特征。

Abstract

The existence of stripe noises influences the qualities of TDI-CCD images

and reduces the measurement accuracy of the system simultaneously. For the characteristic of slow change of the stripe noisesgrey level compared with the primary information

the stripe noises are eliminated via low-pass filter and band-elimination filter separately using the method of determining the stripe noise frequency through the frequency spectrum mapping in the Fourier transform domain. Moreover

an improved threshold of Wavelet Transform method of eliminating stripe noise is presented in this paper. The each vertical directions threshold in various scales is determined by itself after the wavelet decomposition. It is proved that in removing the TDI-CCD stripe noises

the improved threshold of Wavelet Transform is better than the traditional Fourier Transform. The stripe noises can be removed drastically via the improved threshold of Wavelet Transform method

the goal which reserves the spectral characteristic of original image is also achieved.

关键词

Keywords

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