Iterative l1-min algorithm for fixed pattern noise removal in fiber-bundle-based endoscopic imaging

作者：Liu, Xuan^*; Zhang, Lijun; Kirby, Mitchell; Becker, Richard; Qi, Shaohai; Zhao, Feng

来源：Journal of the Optical Society of America A-Optics Image Science and Vision, 2016, 33(4): 630-636.

DOI：10.1364/JOSAA.33.000630

• OPTICAL COHERENCE TOMOGRAPHY
• LINEAR INVERSE PROBLEMS
• THRESHOLDING ALGORITHM
• CELLS
• PROBE

In this study, we developed a signal processing method for fixed pattern noise removal in fiber-bundle-based endoscopic imaging. We physically acquired the fixed pattern of the fiber bundle and used it as a prior image in an l(1) norm minimization (l(1)-min) algorithm. We chose an iterative shrinkage thresholding algorithm for l(1) norm minimization. In addition to fixed pattern noise removal, this method also improved image contrast while preserving spatial resolution. The effectiveness of this method was demonstrated on images obtained from a dark-field illuminated reflectance fiber-optic microscope (DRFM). The iterative l(1)-min algorithm presented in this paper, in combination with the DRFM system that we previously developed, enables high-resolution, highsensitivity, intrinsic-contrast, and in situ cellular imaging which has great potential in clinical diagnosis and biomedical research.

• 出版日期2016-4-1
• 单位中山大学