Statistical model-based change detection in moving video
Signal Processing
Digital video processing
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video
Digital Image Processing with Application to Digital Cinema
Digital Image Processing with Application to Digital Cinema
Automatic restoration of old motion picture films using spatiotemporal exemplar-based inpainting
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A new diamond search algorithm for fast block-matching motion estimation
IEEE Transactions on Image Processing
Detection of missing data in image sequences
IEEE Transactions on Image Processing
Interpolation of missing data in image sequences
IEEE Transactions on Image Processing
A novel four-step search algorithm for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Correction of intensity flicker in old film sequences
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a fast, efficient detection algorithm of missing data (also referred to as blotches) based on Markov Random Field (MRF) models with less computational load and a lower false alarm rate than the existing MRF-based blotch detection algorithms. The proposed algorithm can reduce the computational load by applying fast block-matching motion estimation based on the diamond searching pattern and restricting the attention of the blotch detection process to only the candidate bloch areas. The problem of confusion of the blotches is frequently seen in the vicinity of a moving object due to poorly estimated motion vectors. To solve this problem, we incorporate a weighting function with respect to the pixels, which are accurately detected by our moving edge detector and inputed into the formulation. To solve the blotch detection problem formulated as a maximum a posteriori (MAP) problem, an iterated conditional modes (ICM) algorithm is used. The experimental results show that our proposed method results in fewer blotch detection errors than the conventional blotch detectors, and enables lower computational cost and the more efficient detecting performance when compared with existing MRF-based detectors.