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.

Date Published: 20 August 2013
PDF: 6 pages
Proc. SPIE 8913, International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology, 891314 (20 August 2013); doi: 10.1117/12.2035604

Published in SPIE Proceedings Vol. 8913:
International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology
Changsheng Xie; Yikai Su; Liangcai Cao, Editor(s)