TY - GEN
T1 - SBNUC based on constant statistics for VOx uncooled IRFPA and implementation with FPGA
AU - Wei, Shudi
AU - Jin, Minglei
AU - Jin, Weiqi
AU - Xu, Chao
AU - He, Kang
PY - 2012
Y1 - 2012
N2 - The quality of infrared imaging system was limited by the non-uniformity (NU) in the Infrared Focal Plane Array(IRFPA), especially in the uncooled infrared imaging system. Scene based non-uniformity correction (SBNUC) algorithms are widely concerned since they only need the readout infrared data captured by the imaging system during its normal operation. However, there still exists the problem of ghost artifact in the algorithms, and their performance is noticeably degraded when the methods are applied over scenes with lack of motion. In addition, most SBNUC algorithms are difficult to be implemented in the hardware. In this paper, to reduce the fringe NU in uncooled VOx IRFPA we present a simple and effective SBNUC method based on Constant Statistics in which the fringe NU is reduced by balancing the statistics of the vertical channels. Through analyzing the reason of ghost artifact being brought in in the SBNUC algorithms, our algorithm successfully reduce the ghost artifact that plagues SBNUC algorithms through the use of optimization techniques in the parameter estimation.The advantage of the algorithm lies in its simplicity and low computational complexity. Our algorithm is implemented on a FPGA hardware platform with XC5VSX50T as the kernel processor, the raw infrared data are provided by an uncooled infrared focal plane array of VOx which has fringe NU. Our processing system reaches high correction levels, fringe NU being reduced, the ghost artifact being decreased, which can lay a technical foundation for the following study and applications of high performance thermal imaging system.
AB - The quality of infrared imaging system was limited by the non-uniformity (NU) in the Infrared Focal Plane Array(IRFPA), especially in the uncooled infrared imaging system. Scene based non-uniformity correction (SBNUC) algorithms are widely concerned since they only need the readout infrared data captured by the imaging system during its normal operation. However, there still exists the problem of ghost artifact in the algorithms, and their performance is noticeably degraded when the methods are applied over scenes with lack of motion. In addition, most SBNUC algorithms are difficult to be implemented in the hardware. In this paper, to reduce the fringe NU in uncooled VOx IRFPA we present a simple and effective SBNUC method based on Constant Statistics in which the fringe NU is reduced by balancing the statistics of the vertical channels. Through analyzing the reason of ghost artifact being brought in in the SBNUC algorithms, our algorithm successfully reduce the ghost artifact that plagues SBNUC algorithms through the use of optimization techniques in the parameter estimation.The advantage of the algorithm lies in its simplicity and low computational complexity. Our algorithm is implemented on a FPGA hardware platform with XC5VSX50T as the kernel processor, the raw infrared data are provided by an uncooled infrared focal plane array of VOx which has fringe NU. Our processing system reaches high correction levels, fringe NU being reduced, the ghost artifact being decreased, which can lay a technical foundation for the following study and applications of high performance thermal imaging system.
KW - FPGA
KW - Improved Constant Statistics
KW - Infrared Focal Plane Array (IRFPA)
KW - Non uniformity correction (NUC)
UR - http://www.scopus.com/inward/record.url?scp=84875942622&partnerID=8YFLogxK
U2 - 10.1117/12.2001180
DO - 10.1117/12.2001180
M3 - Conference contribution
AN - SCOPUS:84875942622
SN - 9780819493170
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Infrared, Millimeter-Wave, and Terahertz Technologies II
T2 - Infrared, Millimeter-Wave, and Terahertz Technologies II
Y2 - 5 November 2012 through 7 November 2012
ER -