Noise-reduction of solar blind ultraviolet image

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (23): 77-79.

• 学术探讨 • Previous Articles Next Articles

Noise-reduction of solar blind ultraviolet image

ZHAO Yu-huan^1,2，YAN Feng^1,2，YU Zi-jiang^1,2，LOU Hong-wei¹，SUI Yong-xin¹，YANG Huai-jiang¹，CAO Jian-lin¹

1.State Key Laboratory of Applied Optics，Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences，Changchun 130033，China
2.Graduate School of the Chinese Academy of Sciences，Beijing 100039，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-08-11 Published:2007-08-11
Contact: ZHAO Yu-huan

日盲紫外图像的降噪

赵玉环^1,2，闫丰^1,2，于子江^1,2，娄洪伟¹，隋永新¹，杨怀江¹，曹健林¹

1.中国科学院长春光学精密机械与物理研究所应用光学国家重点实验室，长春 130033
2.中国科学院研究生院，北京 100039

通讯作者: 赵玉环

Abstract

Abstract: Ultraviolet image technology is widely applied in military and civil field，noise of the solar blind ultraviolet image influences image quality seriously.In this paper，the characteristics of noise of the solar blind ultraviolet image are analyzed and noise of solar blind ultraviolet is processed by use of multi-frame average method and time-recursive filtering algorithm.Results of simulated experiment demonstrate that both of these two methods can be used to reduce noise of UV image and improve the Signal Noise Ratio（SNR），especially the latter.

Key words: ultraviolet image, random noise, multi-frame average, time-recursive filtering

摘要： 紫外成像技术已广泛应用于各个领域，但紫外图像中的噪声严重影响了图像的质量。分析了日盲紫外图像的噪声特点，采用多帧平均方法和时域递归滤波算法对日盲紫外图像的噪声进行了处理。仿真实验表明：这两种算法均可用于紫外图像的降噪处理，提高了图像的信噪比，特别是时域递归滤波算法。

关键词: 紫外图像, 随机噪声, 多帧平均, 递归滤波

ZHAO Yu-huan^1,2，YAN Feng^1,2，YU Zi-jiang^1,2，LOU Hong-wei¹，SUI Yong-xin¹，YANG Huai-jiang¹，CAO Jian-lin¹

. Noise-reduction of solar blind ultraviolet image[J]. Computer Engineering and Applications, 2007, 43(23): 77-79.

赵玉环^1,2，闫丰^1,2，于子江^1,2，娄洪伟¹，隋永新¹，杨怀江¹，曹健林¹. 日盲紫外图像的降噪[J]. 计算机工程与应用, 2007, 43(23): 77-79.

[1]	ZHANG Zhiyu1, LI Xiangyue1, LI Xiangyang2. Research on random noise suppression by synchrosqueezing wavelet transform [J]. Computer Engineering and Applications, 2018, 54(5): 57-60.
[2]	PU Ling. Random noise reduction for seismic data based on Locally Linear Embedding [J]. Computer Engineering and Applications, 2015, 51(9): 213-216.
[3]	LIN Chun1, WANG Xuben1, LIU Lihui1，2. Noise decaying of seismic data by Steerable Pyramid decomposition based on Laplace prior [J]. Computer Engineering and Applications, 2012, 48(2): 222-226.
[4]	DU Zhiyuan，LIU Huijie. Accurate carrier-phase inter-satellite ranging in navigation system [J]. Computer Engineering and Applications, 2011, 47(13): 139-142.
[5]	ZHAO Yu-huan¹，WANG Qin¹，ZHANG Li-wei1，YAN Feng². Mathematical morphology application in real-time detection of target in solar blind ultraviolet image [J]. Computer Engineering and Applications, 2009, 45(29): 220-222.
[6]	LIN Chun，WANG Xu-ben. Application of second generation Curvelet transform in random noise decaying of seismic data [J]. Computer Engineering and Applications, 2009, 45(25): 222-224.
[7]	LI Ya－jun¹,LI Yue²,YANG Bao－jun¹,GAO Ying¹. Suppression of surface wave and random noise by SVD and wavelet transform [J]. Computer Engineering and Applications, 2007, 43(31): 182-184.
[8]	. Research on Fuzzy Morphological Associative Memories Against Random Noise [J]. Computer Engineering and Applications, 2007, 43(12): 66-68.

Noise-reduction of solar blind ultraviolet image

日盲紫外图像的降噪

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 8

Recommended Articles

Metrics