TY - JOUR
T1 - Iterative I1-min algorithm for fixed pattern noise removal in fiber-bundle-based endoscopic imaging
AU - Liu, Xuan
AU - Zhang, Lijun
AU - Kirby, Mitchell
AU - Becker, Richard
AU - Qi, Shaohai
AU - Zhao, Feng
N1 - Funding Information:
New Jersey Institute of Technology; National Institutes of Health (NIH) (1R15HL115521-01A1).
Publisher Copyright:
© 2016 Optical Society of America.
PY - 2016/4
Y1 - 2016/4
N2 - 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 l1 norm minimization (l1-min) algorithm. We chose an iterative shrinkage thresholding algorithm for l1 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 darkfield illuminated reflectance fiber-optic microscope (DRFM). The iterative l1-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.
AB - 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 l1 norm minimization (l1-min) algorithm. We chose an iterative shrinkage thresholding algorithm for l1 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 darkfield illuminated reflectance fiber-optic microscope (DRFM). The iterative l1-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.
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U2 - 10.1364/JOSAA.33.000630
DO - 10.1364/JOSAA.33.000630
M3 - Article
C2 - 27140773
AN - SCOPUS:84962438958
VL - 33
SP - 630
EP - 636
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
SN - 1084-7529
IS - 4
ER -