Interference elimination in terahertz imaging based on inverse image processing. (17th July 2018)

• Record Type: Journal Article
• Authors: Wang, Yuye; Chen, Linyu; Chen, Tunan; Xu, Degang; Shi, Jia; Ren, Yuchen; Li, Changzhao; Zhang, Chao; Liu, Hongxiang; Wu, Limin; Zhao, Hengli; Feng, Hua; Yao, Jianquan
• Is Part Of: Journal of physics. Volume 51:Number 32(2018)
• Publication Date: 2018-07-17
• Subjects: terahertz imaging -- interference elimination -- application in biomedicine; Physics -- Periodicals; 530
• DOI: 10.1088/1361-6463/aad0ca
• Languages: English
• ISSNs: 0022-3727

Abstract

Abstract: We propose a novel image restoration approach to eliminate the interference fringes in terahertz (THz) imaging. By making use of the information in the background of a THz image, inverse image processing is introduced under a priori knowledge about the degradation mechanism to suppress the interference. Based on a simulated interference image and the original THz image of a piece of paper coated with graphite powder, taken from our continuous THz imaging system, the interference fringes are successfully eliminated. The enhancement of the peak signal-to-noise ratio and structural similarity index is achieved, compared with the frequency domain filtering. Moreover, the inverse image processing is performed on a THz image of fresh rat brain tissue. It presents an excellent result with accurate information for the brain tissue after interference elimination.