Advanced image and video denoising techniques for BOTDA system under both static and slowly varying environment

We have proposed and experimentally demonstrated for the first time a Brillouin optical time-domain analyzer (BOTDA) assisted by Block-Matching and 3D filtering (BM3D) image denoising technique. BM3D uses the spatial-domain non-local principle to improve the denoising in the transform domain, thus it makes the degradation of measurement accuracy/experimental spatial resolution small when compared with non-local means (NLM) and wavelet denoising (WD). Moreover, we extend the BM3D image denoising to video denoising (Video-BM3D, VBM3D), in order to accurately measure the slowly varying temperature in long-distance BOTDA. VBM3D uses both the spatial and temporal correlations of the data for denoising, thus it can significantly reduce the noise and make the measured values close to the real temperature even if it is temporally changing. In this talk, we will review our work and discuss some future perspectives.