Title :
Space-Time Adaptation for Patch-Based Image Sequence Restoration
Author :
Boulanger, Jérôme ; Kervrann, Charles ; Bouthemy, Patrick
Author_Institution :
Mathematiques et Informatique Appliquees, INRA, Rennes
fDate :
6/1/2007 12:00:00 AM
Abstract :
We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-variance trade-off. At each pixel, the space-time neighborhood is adapted to improve the performance of the proposed patch-based estimator. The proposed method is unsupervised and requires no motion estimation. Nevertheless, it can also be combined with motion estimation to cope with very large displacements due to camera motion. Experiments show that this method is able to drastically improve the quality of highly corrupted image sequences. Quantitative evaluations on standard artificially noise-corrupted image sequences demonstrate that our method outperforms other recent competitive methods. We also report convincing results on real noisy image sequences
Keywords :
adaptive estimation; image restoration; image sequences; motion estimation; space-time adaptive processing; statistical analysis; adaptive statistical estimation; bias-variance trade-off; motion estimation; patch-based image sequence restoration; space-time adaptation; Cameras; Filtering; Image restoration; Image sequences; Infrared imaging; Motion estimation; Noise reduction; Signal restoration; Videos; Wiener filter; Image sequence restoration; bias-variance trade-off.; denoising; nonlinear filtering; nonparametric estimation; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; Video Recording;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.1064