A nonlinear filter for film restoration and other problems in image processing
CVGIP: Graphical Models and Image Processing
Fast Removal of Line Scratches in Old Movies
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A distributed genetic algorithm for restoration of vertical line scratches
Parallel Computing
A fusion-based approach to digital movie restoration
Pattern Recognition
Film line scratch detection using texture and shape information
Pattern Recognition Letters
Genetic algorithms for video segmentation
Pattern Recognition
Efficient optimization of inpainting scheme and line scratch detection for old film restoration
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A spatiotemporal algorithm for detection and restoration of defects in old color films
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
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
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A generalized model for scratch detection
IEEE Transactions on Image Processing
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This paper presents a method for restoring old films corrupted by scratches and blotches. In the proposed method, the reconstruction problem is formulated in a Bayesian framework, where a priori and likelihood are used to model the smoothness within the original images and between the original and observed images, respectively. As the proposed model uses no prior knowledge of scratches and blotches, it can be used to restore various types of degradation. In addition, to minimize the energy function derived in the proposed model, a modified version of DGAs is used, where chromosomes are evolved according to regionally assigned properties, thereby improving the convergence to stable solutions. The proposed restoration method was tested using well-known old films and artificially corrupted films, and the experimental results showed that the proposed algorithm is very efficient and the quality of the images reconstructed using the proposed method is competitive with that restored using existing film restoration methods.