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.
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