Evaluating optical properties of real photonic crystal fibers with compressed sensing based on non-subsampled contourlet transform

• Published in: Infrared physics & technology 2017-09, Vol.85, p.266-272
• Main Authors: Shen, Yan, Liu, Jing, Lou, Shuqin, Hou, Ya-Li, Chen, Houjin
• Format: Article
• Language: English
• Subjects: Compressed sensing; Non-subsampled contourlet transform (NSCT); Optical properties; Photonic crystal fiber
• ISSN: 1350-4495; 1879-0275
• DOI: 10.1016/j.infrared.2017.04.004

•Based on compressed sensing with non-subsampled contourlet transform (NSCT) and the total variation model, an effective method is proposed to evaluate the optical properties of real photonic crystal fibers (PCF).•The cross section images of real PCFs are rebuilt effectively by using only 36% image data.•Optical properties of commercial PCFs are evaluated efficiently without requirement of expensive apparatus and long samples. A real photonic crystal fibers (PCFs) evaluation approach based on compressed sensing with non-subsampled contourlet transform (NSCT) and the total variation model is proposed for modeling optical properties of the real PCFs. The classical images of a commercial large mode area PCF and polarization-maintaining PCF are used to verify the effectiveness of the proposed method. Experimental results demonstrate that the cross section images of real PCFs are rebuilt effectively by using only 36% image data for evaluating the optical properties with the same accuracy as by 100% data. To the best of our knowledge, this is the instance of applying the compressed sensing with the NSCT and total variation to reconstruct the cross section images of PCFs for quickly evaluating the optical properties of real PCFs without the requirement of long fiber samples and expensive measurement apparatuses.