TY - JOUR
T1 - Four-Directional Adaptive Residual Interpolation Technique for DoFP Polarimeters with Different Micro-Polarizer Patterns
AU - Ahmed, Ashfaq
AU - Zhao, Xiaojin
AU - Chang, Jintao
AU - Ma, Hui
AU - Gruev, Viktor
AU - Bermak, Amine
N1 - Publisher Copyright:
© 2001-2012 IEEE.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - In this paper, we present a novel interpolation technique for the division of focal plane polarization image sensors, which adaptively determines the polarization residuals of a pixel in four directions. We have analyzed the performance of different micro-polarizer patterns by interpolation and optimized for a polarization microscope with maximized interpolation accuracy. Specifically, we applied our proposed algorithm on patterns of four micro-polarizers (oriented along 90°, 135°, 45°, and 0°), three micro-polarizers (oriented along 0°, 45°, and 90°), and two micro-polarizers (oriented along 0° and 45°), respectively. The experimental results reveal that the three-micro-polarizer pattern outperforms the other micro-polarizer patterns for recovering the missing polarization information in terms of mean square error (MSE). Moreover, the visual comparison is enabled with the fibrous structure of human liver carcinoma tissues, which shows excellent agreement with the reported MSE comparison.
AB - In this paper, we present a novel interpolation technique for the division of focal plane polarization image sensors, which adaptively determines the polarization residuals of a pixel in four directions. We have analyzed the performance of different micro-polarizer patterns by interpolation and optimized for a polarization microscope with maximized interpolation accuracy. Specifically, we applied our proposed algorithm on patterns of four micro-polarizers (oriented along 90°, 135°, 45°, and 0°), three micro-polarizers (oriented along 0°, 45°, and 90°), and two micro-polarizers (oriented along 0° and 45°), respectively. The experimental results reveal that the three-micro-polarizer pattern outperforms the other micro-polarizer patterns for recovering the missing polarization information in terms of mean square error (MSE). Moreover, the visual comparison is enabled with the fibrous structure of human liver carcinoma tissues, which shows excellent agreement with the reported MSE comparison.
KW - Polarization image sensor
KW - division of focal plane
KW - micro-polarizer pattern
KW - residual interpolation
UR - http://www.scopus.com/inward/record.url?scp=85050964114&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2018.2861825
DO - 10.1109/JSEN.2018.2861825
M3 - Article
AN - SCOPUS:85050964114
SN - 1530-437X
VL - 18
SP - 7990
EP - 7997
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 19
M1 - 8423640
ER -