Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework for Exploiting Task and Data Parallelism on Distributed Memory Multicomputers
IEEE Transactions on Parallel and Distributed Systems
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video
MPI-The Complete Reference, Volume 1: The MPI Core
MPI-The Complete Reference, Volume 1: The MPI Core
Missing data correction in still images and image sequences
Proceedings of the tenth ACM international conference on Multimedia
Efficient Methods for Scratch Removal in Image Sequences
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
P-LSR: A Parallel Algorithm for Line Scratch Restoration
CAMP '05 Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
Fusion of complementary detectors for improving blotch detection in digitized films
Pattern Recognition Letters
Restoration of blue scratches in digital image sequences
Image and Vision Computing
Removing line scratches in digital image sequences by fusion techniques
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Information combination operators for data fusion: a comparative review with classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Detection of missing data in image sequences
IEEE Transactions on Image Processing
Genetic algorithm-based reconstruction of old films corrupted by scratches and blotches
Pattern Recognition Letters
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Many algorithms have been proposed in literature for digital movie restoration; unfortunately, none of them ensures a perfect result whichever is the image sequence to be restored. Here we propose a new digital scratch restoration algorithm which achieves accuracy results higher than that of already existing algorithms and naturally adapts for implementation into high-performance computing environments. The basic idea of the proposed algorithm is to adopt several relatively well-settled algorithms for the problem at hand and combine obtained results through suitable image fusion techniques, with the aim of taking advantage of the adopted algorithms' capabilities and, at the same time, limiting their deficiencies. Extensive experiments on real image sequences deeply investigate both accuracy results of the presented scratch restoration approach, which is shown to outperform other existing approaches, and performance of its parallel implementation, which allows for real-time restoration.