Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast digital image stabilizer based on Gray-coded bit-plane matching
IEEE Transactions on Consumer Electronics
A generalized model for scratch detection
IEEE Transactions on Image Processing
On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
IEEE Transactions on Image Processing
Flicker correction for archived film sequences using a nonlinear model
IEEE Transactions on Circuits and Systems for Video Technology
Reconstruction of degraded images using genetic algoritm for archive film restoration
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Genetic algorithm-based reconstruction of old films corrupted by scratches and blotches
Pattern Recognition Letters
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Old films usually have typical damages from dirt, scratch, and scribbling. These damages make an image degradation of vertical line scratches or blotches in frames. This paper proposes an efficient line scratch detection technique and efficient inpainting method based on MSE (mean square error) to fill the identified line scratch areas. Previous line scratch detection algorithms can only detect full column line scratches; however, we found that partial line scratch should also be identified for better film restoration. We identify line scratches using block-by-block inspection; thereby we can detect partial line scratches. After identifying the line scratches, we use a modified inpainting scheme, which uses MSE measure to compute gradient vector of the inpainting regions. In our experiment with old Korean films, we show that our scheme gives better video quality with much reduced computational complexity.