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Recursive Algorithms for Bias and Gain Nonuniformity Correction in Infrared Videos.
- Source :
- IEEE Transactions on Image Processing; Dec2012, Vol. 21 Issue 12, p4758-4769, 12p
- Publication Year :
- 2012
-
Abstract
- Infrared focal-plane array (IRFPA) detectors suffer from fixed-pattern noise (FPN) that degrades image quality, which is also known as spatial nonuniformity. FPN is still a serious problem, despite recent advances in IRFPA technology. This paper proposes new scene-based correction algorithms for continuous compensation of bias and gain nonuniformity in FPA sensors. The proposed schemes use recursive least-square and affine projection techniques that jointly compensate for both the bias and gain of each image pixel, presenting rapid convergence and robustness to noise. The synthetic and real IRFPA videos experimentally show that the proposed solutions are competitive with the state-of-the-art in FPN reduction, by presenting recovered images with higher fidelity. [ABSTRACT FROM AUTHOR]
- Subjects :
- DETECTORS
IMAGE quality analysis
IMAGE processing
PIXELS
DIGITAL images
Subjects
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 21
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- 83467284
- Full Text :
- https://doi.org/10.1109/TIP.2012.2218820