Microprocessors & Microsystems
Fast adaptive nonuniformity correction for infrared focal-plane array detectors
EURASIP Journal on Applied Signal Processing
Improved Infrared Face Identification Performance Using Nonuniformity Correction Techniques
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Face Recognition with LWIR Imagery Using Local Binary Patterns
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Minimum Variance Gain Nonuniformity Estimation in Infrared Focal Plane Array Sensors
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A real time infrared imaging system based on DSP & FPGA
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
A quantitative evaluation of fixed-pattern noise reduction methods in imaging systems
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
“De-Ghosting” artifact in scene-based nonuniformity correction of infrared image sequences
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of infrared focal point arrays (IRFPAs) and other imaging arrays. The CS model provides an efficient implementation that can also eliminate much of the ghosting artifact that plagues all scene-based nonuniformity correction (NUC) algorithms. The CS algorithm with deghosting is demonstrated on synthetic and real infrared (IR) sequences and shown to improve the overall accuracy of the correction procedure