A new algorithm for stripe noises detection and removal in image processing

Jin Zhang; Li-Yun Xing; Hong-Liang Cui; Ye Yang; Wei-Qi Wang; Lei Liu

doi:10.1117/12.2035604

20 August 2013 A new algorithm for stripe noises detection and removal in image processing

Jin Zhang, Li-Yun Xing, Hong-Liang Cui, Ye Yang, Wei-Qi Wang, Lei Liu

Proceedings Volume 8913, International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology; 891314 (2013) https://doi.org/10.1117/12.2035604
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

This paper reports on our study of algorithms of stripe noise detection and removal in THz image processing. Based on an analysis of the frequency spectrogram of images with stripe noises, we propose a new algorithm for stripe noise detection and removal. Our experimental results show that the algorithm can effectively ascertain the existence of stripe noises. Furthermore, it can remove stripe noises while preserving the original image details as much as possible. Compared with other traditional de-noising algorithms, such as Mean filter and Gauss filter, the new algorithm is more effective and convenient for detecting and subsequent removing of stripe noises.

Citation Download Citation

Jin Zhang, Li-Yun Xing, Hong-Liang Cui, Ye Yang, Wei-Qi Wang, and Lei Liu "A new algorithm for stripe noises detection and removal in image processing", Proc. SPIE 8913, International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology, 891314 (20 August 2013); https://doi.org/10.1117/12.2035604

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KEYWORDS

Detection and tracking algorithms

Image processing

Image filtering

Terahertz radiation

Fourier transforms

Gaussian filters

Optical filters

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