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

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